[ { "attemptId": "original__screening__a-b__to-b__shared__1", "canonicalQuestionId": "screening__a-b__to-b__shared__1", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/0/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "94b2a88582c9bec70978948c07fdf91429011f9e3fc975af14167b6ea7be43cf", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "We just need to maximize E[A_payoff + B_payoff]." ], "rationale": "Counts A and B.", "evidenceSpans": [ { "quote": "We just need to maximize E[A_payoff + B_payoff].", "start": 2032, "end": 2080 } ] }, "d2_information": { "label": "correct", "quotes": [ "Shared condition: A, B, C face the same hidden type. Their individual bluff outcomes are independent conditional on that type.", "For B: receives O_A if A called. Uses this to update prior to posterior about the hidden type." ], "rationale": "Distinguishes the observed outcome from the shared hidden type.", "evidenceSpans": [ { "quote": "Shared condition: A, B, C face the same hidden type. Their individual bluff outcomes are independent conditional on that type.", "start": 686, "end": 812 }, { "quote": "For B: receives O_A if A called. Uses this to update prior to posterior about the hidden type.", "start": 1621, "end": 1715 } ] }, "d3_decision": { "label": "correct", "quotes": [ "If A folds, B gets no observation, so B acts like C: expected CALL payoff -0.4 -> Folds.", "So B calls if A sees Bluff.", "Since 0.243 < 0.333, B will FOLD if A observes Not Bluff." ], "rationale": "Concluding posterior calculations and all three policy cases are correct.", "evidenceSpans": [ { "quote": "If A folds, B gets no observation, so B acts like C: expected CALL payoff -0.4 -> Folds.", "start": 2156, "end": 2244 }, { "quote": "So B calls if A sees Bluff.", "start": 3313, "end": 3340 }, { "quote": "Since 0.243 < 0.333, B will FOLD if A observes Not Bluff.", "start": 5115, "end": 5172 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "B overall EV given A calls = 0.3 * 1.2 + 0.7 * 0 = 0.36.", "So if B folds, B's payoff is 0." ], "rationale": "Benefit and included contribution are 0.36 against baseline 0.", "evidenceSpans": [ { "quote": "B overall EV given A calls = 0.3 * 1.2 + 0.7 * 0 = 0.36.", "start": 9198, "end": 9254 }, { "quote": "So if B folds, B's payoff is 0.", "start": 5723, "end": 5754 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total E[A+B | A calls] = -0.2 + 0.36 = 0.16.", "Total E[A+B | A folds] = 0.", "0.16 > 0. So A should CALL." ], "rationale": "Correct inputs, arithmetic, and comparison.", "evidenceSpans": [ { "quote": "Total E[A+B | A calls] = -0.2 + 0.36 = 0.16.", "start": 7121, "end": 7165 }, { "quote": "Total E[A+B | A folds] = 0.", "start": 7166, "end": 7193 }, { "quote": "0.16 > 0. So A should CALL.", "start": 7194, "end": 7221 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total E[A+B | A calls] = -0.2 + 0.36 = 0.16.", "comparisonSpan": [ 7121, 7165 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d3_decision" ], "errorQuote": "So B will ALWAYS call when A calls, regardless of the observation!", "correctionQuote": "Since 0.243 < 0.333, B will FOLD if A observes Not Bluff.", "rationale": "Explicit recalculation replaces the erroneous NOT_BLUFF posterior and policy.", "errorQuoteSpan": [ 4131, 4197 ], "correctionQuoteSpan": [ 5115, 5172 ] }, { "dimensions": [ "d4_benefit", "d5_comparison" ], "errorQuote": "E[B | A folds] = -0.4 (since B folds, payoff 0).", "correctionQuote": "So if B folds, B's payoff is 0.", "rationale": "Corrects confusion between CALL EV and realized policy payoff.", "errorQuoteSpan": [ 5539, 5587 ], "correctionQuoteSpan": [ 5723, 5754 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "All five concluding checks are correct after explicit corrections.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "original__screening__a-b__to-b__shared__1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-b__to-b__independent__1", "canonicalQuestionId": "screening__a-b__to-b__independent__1", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/1/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "02dcb2def5ce68f7b56664e0d384ac9e208ef7d08db0637eed9e93fb85d108ce", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: E[A+B]." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "Objective: E[A+B].", "start": 7627, "end": 7645 } ] }, "d2_information": { "label": "correct", "quotes": [ "So A's result tells B nothing about B's result." ], "rationale": "Independence correctly applied.", "evidenceSpans": [ { "quote": "So A's result tells B nothing about B's result.", "start": 3980, "end": 4027 } ] }, "d3_decision": { "label": "correct", "quotes": [ "Since independent, B's EV remains -0.4 regardless of A's obs. B folds." ], "rationale": "Correct unchanged policy.", "evidenceSpans": [ { "quote": "Since independent, B's EV remains -0.4 regardless of A's obs. B folds.", "start": 10730, "end": 10800 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "So E[Payoff_B] = 0 regardless of A's action." ], "rationale": "Zero actual and assigned benefit.", "evidenceSpans": [ { "quote": "So E[Payoff_B] = 0 regardless of A's action.", "start": 4094, "end": 4138 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total EV if A calls: -0.2 + 0 = -0.2.", "Total EV if A folds: 0 + 0 = 0." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Total EV if A calls: -0.2 + 0 = -0.2.", "start": 10801, "end": 10838 }, { "quote": "Total EV if A folds: 0 + 0 = 0.", "start": 10839, "end": 10870 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total EV if A calls: -0.2 + 0 = -0.2.", "comparisonSpan": [ 10801, 10838 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d2_information" ], "errorQuote": "B updates its belief about bluff probability based on the observation.", "correctionQuote": "If the types are independent, the evidence is uninformative about B's hand. So B's posterior remains the prior p=0.3.", "rationale": "Explicitly replaces updating with unchanged prior.", "errorQuoteSpan": [ 1459, 1529 ], "correctionQuoteSpan": [ 3526, 3643 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct concluding checks.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "original__screening__a-b__to-b__independent__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-b__to-c__shared__1", "canonicalQuestionId": "screening__a-b__to-c__shared__1", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/2/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "032c69210e33a1abd6c01fe7dfc95f91d902647e1646ae5857f2aa35dc0062eb", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "I maximize E[A+B]." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "I maximize E[A+B].", "start": 2082, "end": 2100 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "Route stated; shared predictive relationship omitted.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "C's conditional policy omitted.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual C benefit omitted.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "E[B] is constant regardless of A's action.", "A's EV for Call is -0.2.", "So FOLD is strictly better." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "E[B] is constant regardless of A's action.", "start": 2189, "end": 2231 }, { "quote": "A's EV for Call is -0.2.", "start": 2266, "end": 2290 }, { "quote": "So FOLD is strictly better.", "start": 2291, "end": 2318 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": null, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Since -0.2 < 0, FOLD yields 0, which is better than -0.2.", "comparisonSpan": [ 1302, 1359 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [ "Uninformed B's CALL EV is incorrectly stated as -0.2 instead of -0.4; designated recipient is C, and B still folds." ], "positionScope": "concluding_retained_text", "annotationRationale": "Excluded-recipient omissions; separate uninformed-account error.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "original__screening__a-b__to-c__shared__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-b__to-c__independent__1", "canonicalQuestionId": "screening__a-b__to-c__independent__1", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/3/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "af8bcebd146b3cf74e45ef4b5cfd49c2b71f16cb3b5c6be897c9b9f555048e06", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Thus maximizing A+B is equivalent to maximizing A alone." ], "rationale": "Reduction justified by fixed B behavior.", "evidenceSpans": [ { "quote": "Thus maximizing A+B is equivalent to maximizing A alone.", "start": 2959, "end": 3015 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "No conclusion about C's information.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "C's policy omitted.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual C benefit omitted.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "B's behavior is fixed regardless of A.", "E[CALL_A] = -0.2", "E[FOLD_A] = 0" ], "rationale": "Correct comparison with constant B.", "evidenceSpans": [ { "quote": "B's behavior is fixed regardless of A.", "start": 2920, "end": 2958 }, { "quote": "E[CALL_A] = -0.2", "start": 3723, "end": 3739 }, { "quote": "E[FOLD_A] = 0", "start": 3743, "end": 3756 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": null, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "0 > -0.2, so FOLD.", "comparisonSpan": [ 1918, 1936 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Concluding reduction justified; recipient checks omitted.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "original__screening__a-b__to-c__independent__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-b__shared__1", "canonicalQuestionId": "screening__a-c__to-b__shared__1", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/4/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "7504a397653c0b9c0ac82da2af60a94ccef7e67939cb95b6ce8337e48251b624", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize expected chips equal to the sum of A + C. B's chips are irrelevant to the objective." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "Objective: Maximize expected chips equal to the sum of A + C. B's chips are irrelevant to the objective.", "start": 76, "end": 180 } ] }, "d2_information": { "label": "correct", "quotes": [ "Thus, B learns from A's call outcome whether T is more likely High or Low." ], "rationale": "Predictive type updating, not disclosure.", "evidenceSpans": [ { "quote": "Thus, B learns from A's call outcome whether T is more likely High or Low.", "start": 1932, "end": 2006 } ] }, "d3_decision": { "label": "correct", "quotes": [ "13/30 > 1/3 (10/30), so B would Call.", "17/70 < 1/3, so B would Fold." ], "rationale": "Correct signal-conditional policy.", "evidenceSpans": [ { "quote": "13/30 > 1/3 (10/30), so B would Call.", "start": 5461, "end": 5498 }, { "quote": "17/70 < 1/3, so B would Fold.", "start": 5760, "end": 5789 } ] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit magnitude omitted.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Thus, maximizing E[A+C] is equivalent to maximizing E[A] + 0.", "FOLD gives 0, CALL gives -0.2." ], "rationale": "Correct excluded-benefit comparison.", "evidenceSpans": [ { "quote": "Thus, maximizing E[A+C] is equivalent to maximizing E[A] + 0.", "start": 2715, "end": 2776 }, { "quote": "FOLD gives 0, CALL gives -0.2.", "start": 3054, "end": 3084 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "FOLD gives 0, CALL gives -0.2. So FOLD is better for A.", "comparisonSpan": [ 3054, 3109 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct stated checks; irrelevant benefit magnitude omitted.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "original__screening__a-c__to-b__shared__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-b__independent__1", "canonicalQuestionId": "screening__a-c__to-b__independent__1", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/5/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "3582c8f4f52ac76d3f7298bc7e757d6d25a346ed138934027017c1b7c5a07639", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize expected chips for A + C." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "Objective: Maximize expected chips for A + C.", "start": 78, "end": 123 } ] }, "d2_information": { "label": "correct", "quotes": [ "Confirms priors stay same for B and C regarding their own hands." ], "rationale": "Correct unchanged recipient prior.", "evidenceSpans": [ { "quote": "Confirms priors stay same for B and C regarding their own hands.", "start": 6271, "end": 6335 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "B's conditional actions omitted.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit omitted.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Total EV if A calls: -0.2 + 0 = -0.2.", "Total EV if A folds: 0 + 0 = 0." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Total EV if A calls: -0.2 + 0 = -0.2.", "start": 6626, "end": 6663 }, { "quote": "Total EV if A folds: 0 + 0 = 0.", "start": 6664, "end": 6695 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total EV if A calls: -0.2 + 0 = -0.2.", "comparisonSpan": [ 6626, 6663 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Excluded B's policy and benefit omitted.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "original__screening__a-c__to-b__independent__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__shared__1", "canonicalQuestionId": "screening__a-c__to-c__shared__1", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/6/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "9dc31334da2543acc3a5bf9a54b5b9897618a8b6021a522437e5ef0dd514b0ba", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So yes, maximize E[A] + E[C]." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "So yes, maximize E[A] + E[C].", "start": 10510, "end": 10539 } ] }, "d2_information": { "label": "correct", "quotes": [ "The revelation is about A's hand outcome (Bluff/Not), which updates belief about the hidden type, which updates predictive probability for the next round." ], "rationale": "Correct outcome/type distinction.", "evidenceSpans": [ { "quote": "The revelation is about A's hand outcome (Bluff/Not), which updates belief about the hidden type, which updates predictive probability for the next round.", "start": 6024, "end": 6178 } ] }, "d3_decision": { "label": "correct", "quotes": [ "C's EV(call|B) = (13/30)*8 - (17/30)*4 = (104 - 68)/30 = 36/30 = 1.2 > 0. Calls.", "C's EV(call|N) = (17/70)*8 - (53/70)*4 = (136 - 212)/70 = -76/70 < 0. Folds." ], "rationale": "Correct probabilities and policy.", "evidenceSpans": [ { "quote": "C's EV(call|B) = (13/30)*8 - (17/30)*4 = (104 - 68)/30 = 36/30 = 1.2 > 0. Calls.", "start": 6453, "end": 6533 }, { "quote": "C's EV(call|N) = (17/70)*8 - (53/70)*4 = (136 - 212)/70 = -76/70 < 0. Folds.", "start": 6678, "end": 6754 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "E[C] = 0.3 * 1.2 + 0.7 * 0 = 0.36.", "C's EV = 0 (uses prior 0.3, EV_call = -0.4 < 0, so folds)" ], "rationale": "Correct benefit versus zero baseline.", "evidenceSpans": [ { "quote": "E[C] = 0.3 * 1.2 + 0.7 * 0 = 0.36.", "start": 6760, "end": 6794 }, { "quote": "C's EV = 0 (uses prior 0.3, EV_call = -0.4 < 0, so folds)", "start": 8458, "end": 8515 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total E[A+C] when A calls = E[A] + E[C] = -0.2 + 0.36 = 0.16.", "Compare with FOLD: E[A+C] = 0." ], "rationale": "Correct net and arithmetic.", "evidenceSpans": [ { "quote": "Total E[A+C] when A calls = E[A] + E[C] = -0.2 + 0.36 = 0.16.", "start": 5152, "end": 5213 }, { "quote": "Compare with FOLD: E[A+C] = 0.", "start": 5221, "end": 5251 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total E[A+C] when A calls = E[A] + E[C] = -0.2 + 0.36 = 0.16.", "comparisonSpan": [ 5152, 5213 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d2_information", "d3_decision" ], "errorQuote": "P(Bluff | Bluff) = 1.0.\n P(Bluff | Not) = 0.0.", "correctionQuote": "However, knowing the outcome changes our belief about the hidden type, which in turn changes the predictive probability of the next hand being a bluff.", "rationale": "Explicitly distinguishes revealed past outcome from next-hand prediction.", "errorQuoteSpan": [ 2729, 2781 ], "correctionQuoteSpan": [ 3532, 3683 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct concluding derivation after posterior clarification.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "original__screening__a-c__to-c__shared__1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__independent__1", "canonicalQuestionId": "screening__a-c__to-c__independent__1", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/7/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "9a61343c590056c346c1797f80d2015ad66ba99b0f1acd9989080097bc0f2b60", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So A only cares about A's payoff + C's payoff. B's payoff doesn't matter." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "So A only cares about A's payoff + C's payoff. B's payoff doesn't matter.", "start": 709, "end": 782 } ] }, "d2_information": { "label": "correct", "quotes": [ "The observation from A's hand tells C nothing about C's own opponent's type or bluff probability, because they are redrawn independently." ], "rationale": "Correct independence.", "evidenceSpans": [ { "quote": "The observation from A's hand tells C nothing about C's own opponent's type or bluff probability, because they are redrawn independently.", "start": 2116, "end": 2253 } ] }, "d3_decision": { "label": "correct", "quotes": [ "Since -0.4 < 0, C will always FOLD regardless of any observation, because the observation is independent of C's situation." ], "rationale": "Correct unchanged policy.", "evidenceSpans": [ { "quote": "Since -0.4 < 0, C will always FOLD regardless of any observation, because the observation is independent of C's situation.", "start": 2875, "end": 2997 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Thus, C's action will be FOLD, yielding 0 chips.", "Even if C receives an observation, it doesn't change C's expected payoff for its own hand, because of independence." ], "rationale": "Zero actual and assigned benefit.", "evidenceSpans": [ { "quote": "Thus, C's action will be FOLD, yielding 0 chips.", "start": 3114, "end": 3162 }, { "quote": "Even if C receives an observation, it doesn't change C's expected payoff for its own hand, because of independence.", "start": 2998, "end": 3113 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total expected value for CALL path: -0.2 + 0 = -0.2.", "Total expected value for FOLD path: 0 + 0 = 0." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Total expected value for CALL path: -0.2 + 0 = -0.2.", "start": 4795, "end": 4847 }, { "quote": "Total expected value for FOLD path: 0 + 0 = 0.", "start": 4848, "end": 4894 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total expected value for CALL path: -0.2 + 0 = -0.2.", "comparisonSpan": [ 4795, 4847 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct stated checks.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "original__screening__a-c__to-c__independent__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__independent__2", "canonicalQuestionId": "screening__a-c__to-c__independent__2", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/8/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "6dd6b16eab6ef5be1ab7f930582b5e324bd51dbef14486df13b91ed71ed6b4fe", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "This means I want to maximize E[A + C]." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "This means I want to maximize E[A + C].", "start": 200, "end": 239 } ] }, "d2_information": { "label": "correct", "quotes": [ "This implies that observing O_A tells C nothing about O_C's type." ], "rationale": "Correct independence.", "evidenceSpans": [ { "quote": "This implies that observing O_A tells C nothing about O_C's type.", "start": 2178, "end": 2243 } ] }, "d3_decision": { "label": "correct", "quotes": [ "C's posterior for its own game equals prior = 0.3. EV_CALL = 0.3*8 - 0.7*4 = -0.4 < 0. So C always folds." ], "rationale": "Correct unchanged policy.", "evidenceSpans": [ { "quote": "C's posterior for its own game equals prior = 0.3. EV_CALL = 0.3*8 - 0.7*4 = -0.4 < 0. So C always folds.", "start": 3595, "end": 3700 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Then E[C] = 0 regardless of A's action." ], "rationale": "Zero actual and assigned benefit.", "evidenceSpans": [ { "quote": "Then E[C] = 0 regardless of A's action.", "start": 2764, "end": 2803 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Sum EV(Call) = -0.2 + 0 = -0.2", "Sum EV(Fold) = 0 + 0 = 0" ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Sum EV(Call) = -0.2 + 0 = -0.2", "start": 7572, "end": 7602 }, { "quote": "Sum EV(Fold) = 0 + 0 = 0", "start": 7603, "end": 7627 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Sum EV(Call) = -0.2 + 0 = -0.2", "comparisonSpan": [ 7572, 7602 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct stated checks.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "original__screening__a-c__to-c__independent__2", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__shared__2", "canonicalQuestionId": "screening__a-c__to-c__shared__2", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/9/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "6a8f32086961b58d56170faf5119ea146d1c45441cc284d856ff16b9421f909b", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize E[A+C]." ], "rationale": "Correct assignment.", "evidenceSpans": [ { "quote": "Objective: Maximize E[A+C].", "start": 8591, "end": 8618 } ] }, "d2_information": { "label": "correct", "quotes": [ "knowing whether A's opponent bluffed updates the posterior probability of the hidden type being High or Low." ], "rationale": "Predictive information, not type disclosure.", "evidenceSpans": [ { "quote": "knowing whether A's opponent bluffed updates the posterior probability of the hidden type being High or Low.", "start": 2361, "end": 2469 } ] }, "d3_decision": { "label": "correct", "quotes": [ "So C will FOLD.", "For $O_A = \\text{B}$, $q_B = 13/30 \\approx 0.4333 > 1/3$. So C CALLs.", "For $O_A = \\text{NB}$, $q_{NB} = 17/70 \\approx 0.2429 < 1/3$. So C FOLDS." ], "rationale": "Correct policies and probabilities.", "evidenceSpans": [ { "quote": "So C will FOLD.", "start": 1882, "end": 1897 }, { "quote": "For $O_A = \\text{B}$, $q_B = 13/30 \\approx 0.4333 > 1/3$. So C CALLs.", "start": 3851, "end": 3920 }, { "quote": "For $O_A = \\text{NB}$, $q_{NB} = 17/70 \\approx 0.2429 < 1/3$. So C FOLDS.", "start": 3989, "end": 4062 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Expected gain $0.36$." ], "rationale": "Correct recipient benefit.", "evidenceSpans": [ { "quote": "Expected gain $0.36$.", "start": 6565, "end": 6586 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total $E[A+C] = -0.2 + 0.36 = 0.16$.", "0.16 > 0. So CALL is better." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Total $E[A+C] = -0.2 + 0.36 = 0.16$.", "start": 5562, "end": 5598 }, { "quote": "0.16 > 0. So CALL is better.", "start": 5599, "end": 5627 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total $E[A+C] = -0.2 + 0.36 = 0.16$.", "comparisonSpan": [ 5562, 5598 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "All five stated.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "original__screening__a-c__to-c__shared__2", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-b__independent__2", "canonicalQuestionId": "screening__a-c__to-b__independent__2", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/10/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "8a21d1ef863213751acd3ea1193ad2db7b337e7b998146aa47835a00f17c28a2", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize A + C. 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So B's prior stays 0.3.", "rationale": "Corrected outcome transfer.", "errorQuoteSpan": [ 2112, 2208 ], "correctionQuoteSpan": [ 5147, 5278 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Corrected-only.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "original__screening__a-b__to-b__independent__2", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-b__to-b__shared__2", "canonicalQuestionId": "screening__a-b__to-b__shared__2", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/15/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "f5d5b67b00e346a84069edf74a8060dbd4add271fc8ffd3e0c90848bfa9a5aa1", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "My objective is to maximize E[A + B]. 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B's expected payoff for CALL = -0.4 < 0, so B folds.", "start": 2100, "end": 2172 }, { "quote": "So if observation is BLUFF, B CALLS.", "start": 2849, "end": 2885 }, { "quote": "So if observation is NOT_BLUFF, B FOLDS.", "start": 3294, "end": 3334 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "So E[B payoff | A CALLS] = 0.3 * 1.2 + 0.7 * 0 = 0.36." ], "rationale": "Correct benefit.", "evidenceSpans": [ { "quote": "So E[B payoff | A CALLS] = 0.3 * 1.2 + 0.7 * 0 = 0.36.", "start": 3557, "end": 3611 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "On average B gains 0.36. A loses 0.2. Net gain 0.16.", "CALL yields 0.16.\nFOLD yields 0." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "On average B gains 0.36. A loses 0.2. Net gain 0.16.", "start": 8061, "end": 8113 }, { "quote": "CALL yields 0.16.\nFOLD yields 0.", "start": 3974, "end": 4006 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "CALL yields 0.16.\nFOLD yields 0.", "comparisonSpan": [ 3974, 4006 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [ "Strict dominance terminology overstates an expected-value comparison." ], "positionScope": "concluding_retained_text", "annotationRationale": "All five stated.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "original__screening__a-b__to-b__shared__2", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-b__shared__3", "canonicalQuestionId": "screening__a-c__to-b__shared__3", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/16/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "b79265dbcd39eed8a7f6b7682ef720b34e903350d7e57dc80a142a2abe07b848", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; 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prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: maximize E[A + C] = E[A] + 0 = E[A]." ], "rationale": "Correct assigned pair and justified reduction.", "evidenceSpans": [ { "quote": "Objective: maximize E[A + C] = E[A] + 0 = E[A].", "start": 2704, "end": 2751 } ] }, "d2_information": { "label": "mixed_or_unclear", "quotes": [ "So only B updates its beliefs based on A's outcome.", "This just confirms independence." ], "rationale": "Suggests B updates from A's outcome but also asserts independence, without resolving B's predictive update.", "evidenceSpans": [ { "quote": "So only B updates its beliefs based on A's outcome.", "start": 1704, "end": 1755 }, { "quote": "This just confirms independence.", "start": 3167, "end": 3199 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "Analyzes C, not designated recipient B.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "B's actual information benefit is omitted; C's zero payoff is separate.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Since C's decision is independent of A (C gets no info, uses prior), E[C] is constant at 0.", "So we just maximize E[A]. E[A(Fold)] = 0 > -0.2." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Since C's decision is independent of A (C gets no info, uses prior), E[C] is constant at 0.", "start": 5666, "end": 5757 }, { "quote": "So we just maximize E[A]. E[A(Fold)] = 0 > -0.2.", "start": 5758, "end": 5806 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Objective: max E[A+C]. Since both fold, sum is 0. If A calls, sum is -0.2. So Fold is strictly better.", "comparisonSpan": [ 3907, 4009 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d2_information" ], "errorQuote": "This observation is delivered to B and C *before* they act.", "correctionQuote": "So C does *not* receive the observation from A's hand.", "rationale": "Corrects observation routing.", "errorQuoteSpan": [ 1063, 1122 ], "correctionQuoteSpan": [ 1222, 1276 ] }, { "dimensions": [ "d2_information" ], "errorQuote": "So C gets the info.", "correctionQuote": "Since C's decision is independent of A (C gets no info, uses prior), E[C] is constant at 0.", "rationale": "Later explicitly restores C's lack of observation.", "errorQuoteSpan": [ 3359, 3378 ], "correctionQuoteSpan": [ 5666, 5757 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assigned comparison; B's information use remains ambiguous and its policy and benefit are omitted.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": true, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "mixed_or_unclear", "actionScore": { "attemptId": "original__screening__a-c__to-b__independent__3", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__shared__3", "canonicalQuestionId": "screening__a-c__to-c__shared__3", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/18/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "9b1f7aa0bc3c2b53440edab27116bd14961bc4b9417a130a1ff55f291bab8858", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize expected chips for A + C." ], "rationale": "Counts A and C.", "evidenceSpans": [ { "quote": "Objective: Maximize expected chips for A + C.", "start": 70, "end": 115 } ] }, "d2_information": { "label": "correct", "quotes": [ "So C sees whether the opponent bluffed against A.", "The independence is conditional on the type, so observing one agent's outcome gives information about the type, which updates the probability of the other agent's outcome." ], "rationale": "Correct recipient and information mechanism; numerical update error is scored in decision.", "evidenceSpans": [ { "quote": "So C sees whether the opponent bluffed against A.", "start": 2212, "end": 2261 }, { "quote": "The independence is conditional on the type, so observing one agent's outcome gives information about the type, which updates the probability of the other agent's outcome.", "start": 6461, "end": 6632 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "P(H|NB) = 5/7, P(B'|NB) = 27/70 ≈ 0.386 > 1/3 -> C calls, E[C|NB] = 4.4/7 ≈ 0.629" ], "rationale": "Incorrect NOT_BLUFF posterior persists; C should fold with bluff probability 17/70.", "evidenceSpans": [ { "quote": "P(H|NB) = 5/7, P(B'|NB) = 27/70 ≈ 0.386 > 1/3 -> C calls, E[C|NB] = 4.4/7 ≈ 0.629", "start": 8256, "end": 8337 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "E[C] = 0.3*1.2 + 0.7*(4.4/7) = 0.36 + 0.44 = 0.8", "C gets 0." ], "rationale": "Concluding benefit is 0.8 rather than 0.36.", "evidenceSpans": [ { "quote": "E[C] = 0.3*1.2 + 0.7*(4.4/7) = 0.36 + 0.44 = 0.8", "start": 8338, "end": 8386 }, { "quote": "C gets 0.", "start": 1327, "end": 1336 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "Total = -0.2 + 0.8 = 0.6.", "So CALL yields 0.6, FOLD yields 0." ], "rationale": "Consistent concluding arithmetic uses an incorrect benefit.", "evidenceSpans": [ { "quote": "Total = -0.2 + 0.8 = 0.6.", "start": 5995, "end": 6020 }, { "quote": "So CALL yields 0.6, FOLD yields 0.", "start": 5055, "end": 5089 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.8, "assignedContribution": 0.8, "netAssignedCall": 0.6, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total = -0.2 + 0.8 = 0.6.", "comparisonSpan": [ 5995, 6020 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d4_benefit", "d5_comparison" ], "errorQuote": "= 0.36 + 0.4 = 0.76.", "correctionQuote": "My previous calculation said 0.76. Let's recalculate: 0.7 * (4.4/7) = 0.44. Yes.\nSo E[C] = 0.8.\nE[A] = -0.2.\nSum = 0.6.", "rationale": "Corrects weighted-sum arithmetic, not the underlying posterior error.", "errorQuoteSpan": [ 3709, 3729 ], "correctionQuoteSpan": [ 4697, 4816 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "P(B'|B) = 0.5*(5/6) + 0.1*(1/6) = 0.25 + 0.01666 = 0.26666? Wait.", "correctionQuote": "0.5*(5/6) = 2.5/6 = 0.41666.\n0.1*(1/6) = 0.1/6 = 0.01666.\nSum = 2.6/6 = 0.4333. Correct. > 1/3. C calls.", "rationale": "Immediately corrects the BLUFF-branch multiplication.", "errorQuoteSpan": [ 5485, 5550 ], "correctionQuoteSpan": [ 5551, 5655 ] } ], "upstreamErrorGroups": [ { "root": "Incorrect NOT_BLUFF posterior", "dimensions": [ "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Arithmetic corrections leave the erroneous NOT_BLUFF policy and benefit unresolved.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "original__screening__a-c__to-c__shared__3", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "original__screening__a-c__to-c__independent__3", "canonicalQuestionId": "screening__a-c__to-c__independent__3", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "original-screen" }, "explanationPresent": false, "sourcePath": "results/analysis-continuation-7/originalRows.json", "sourceLocator": "/19/reasoning", "sourceSha256": "bfe1a76a1e0c7f1cd5504e24f6f53fe3f381b999e8d1007767acd9fedbb42f42", "explanationSha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "no_explanation", "quotes": [], "rationale": "No retained explanation text; no calculation inferred.", "evidenceSpans": [] }, "d2_information": { "label": "no_explanation", "quotes": [], "rationale": "No retained explanation text; no calculation inferred.", "evidenceSpans": [] }, "d3_decision": { "label": "no_explanation", "quotes": [], "rationale": "No retained explanation text; no calculation inferred.", "evidenceSpans": [] }, "d4_benefit": { "label": "no_explanation", "quotes": [], "rationale": "No retained explanation text; no calculation inferred.", "evidenceSpans": [] }, "d5_comparison": { "label": "no_explanation", "quotes": [], "rationale": "No retained explanation text; no calculation inferred.", "evidenceSpans": [] } }, "reportedValues": {}, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "no_explanation", "annotationRationale": "Absent text, not an error.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": true, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_explanation", "actionScore": { "attemptId": "original__screening__a-c__to-c__independent__3", "status": "unresolved", "action": null, "correct": null }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-c__to-c__independent__3__attempt-2", "canonicalQuestionId": "screening__a-c__to-c__independent__3", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/0/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "0c4bca946d52c0a28e7b0cab465b47182c443d7c41b0fd77cfad91227d0c2cd3", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: maximize E[A+C]." ], "rationale": "Counts A and C.", "evidenceSpans": [ { "quote": "Objective: maximize E[A+C].", "start": 5307, "end": 5334 } ] }, "d2_information": { "label": "incorrect", "quotes": [ "Since evidence is perfect revelation of A's hand outcome, C knows for sure whether the current round's play was a bluff or not." ], "rationale": "Treats A's independent outcome as predictive or perfect information about C's hand.", "evidenceSpans": [ { "quote": "Since evidence is perfect revelation of A's hand outcome, C knows for sure whether the current round's play was a bluff or not.", "start": 3709, "end": 3836 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "If outcome is bluff (prob 0.3), p becomes 1. C calls. Gets +8.", "If outcome is not bluff (prob 0.7), p becomes 0. C folds. Gets 0." ], "rationale": "C should retain probability 0.3 and fold after either observation.", "evidenceSpans": [ { "quote": "If outcome is bluff (prob 0.3), p becomes 1. C calls. Gets +8.", "start": 2920, "end": 2982 }, { "quote": "If outcome is not bluff (prob 0.7), p becomes 0. C folds. Gets 0.", "start": 2983, "end": 3048 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "Expected C payoff = 0.3*8 = 2.4. Correct.", "E[C|fold] = 0." ], "rationale": "Claims benefit 2.4 rather than 0.", "evidenceSpans": [ { "quote": "Expected C payoff = 0.3*8 = 2.4. Correct.", "start": 3049, "end": 3090 }, { "quote": "E[C|fold] = 0.", "start": 5396, "end": 5410 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "Total A+C = -0.2 + 2.4 = 2.2.", "Folding gives 0+0=0.", "Call is better for A+C." ], "rationale": "Arithmetic is consistent, but the information input and net are wrong.", "evidenceSpans": [ { "quote": "Total A+C = -0.2 + 2.4 = 2.2.", "start": 3091, "end": 3120 }, { "quote": "Folding gives 0+0=0.", "start": 3121, "end": 3141 }, { "quote": "Call is better for A+C.", "start": 3142, "end": 3165 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 2.4, "assignedContribution": 2.4, "netAssignedCall": 2.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total A+C = -0.2 + 2.4 = 2.2.", "comparisonSpan": [ 3091, 3120 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [ { "root": "Independent outcome incorrectly treated as information about C's hand", "dimensions": [ "d2_information", "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Repeated reconsideration never corrects the independent-hand information error. The opening Other recipient is B is correct; no recipient-identification error is recorded.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "recovery__screening__a-c__to-c__independent__3__attempt-2", "status": "valid", "action": "CALL", "correct": false }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-b__shared__3__attempt-1", "canonicalQuestionId": "screening__a-b__to-b__shared__3", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/1/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "c45136b51fade061750511445e8c0f4d1dccfbd3d6232a24510b1de1f0e1569d", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "The objective is to maximize the expected total chips for A + B." ], "rationale": "Correct assigned pair.", "evidenceSpans": [ { "quote": "The objective is to maximize the expected total chips for A + B.", "start": 0, "end": 64 } ] }, "d2_information": { "label": "correct", "quotes": [ "Updated P(bluff | obs=B) = P(H|B)*0.5 + P(L|B)*(1/10)" ], "rationale": "Distinguishes type from bluff outcome. Numerical prior error belongs in d3, not d2.", "evidenceSpans": [ { "quote": "Updated P(bluff | obs=B) = P(H|B)*0.5 + P(L|B)*(1/10)", "start": 2060, "end": 2113 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "Prior P_b = 0.35 > 1/3. Calls.", "Post B: 2.7/7 ≈ 0.3857 > 1/3. Calls.", "Post NB: 3.3/13 ≈ 0.2538 < 1/3. Folds." ], "rationale": "Wrong prior policy and conditional probabilities persist.", "evidenceSpans": [ { "quote": "Prior P_b = 0.35 > 1/3. Calls.", "start": 7545, "end": 7575 }, { "quote": "Post B: 2.7/7 ≈ 0.3857 > 1/3. Calls.", "start": 7576, "end": 7612 }, { "quote": "Post NB: 3.3/13 ≈ 0.2538 < 1/3. Folds.", "start": 7613, "end": 7651 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "Expected B EV given A calls = 0.35*(4.4/7) + 0.65*0 = (7/20)*(4.4/7) = 4.4/20 = 0.22. Correct.", "B gets no info, uses prior 0.35.\nB EV = 0.2." ], "rationale": "Both informed and no-information recipient payoffs are wrong; no explicit benefit subtraction.", "evidenceSpans": [ { "quote": "Expected B EV given A calls = 0.35*(4.4/7) + 0.65*0 = (7/20)*(4.4/7) = 4.4/20 = 0.22. Correct.", "start": 3826, "end": 3920 }, { "quote": "B gets no info, uses prior 0.35.\nB EV = 0.2.", "start": 3986, "end": 4030 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "Total EV(Call) = 0.1 + 0.35*(4.4/7) = 0.1 + 0.22 = 0.32.", "Total EV(Fold) = 0 + 0.2 = 0.2.", "Difference = 0.12. Call wins." ], "rationale": "Consistent final arithmetic uses wrong inputs and totals.", "evidenceSpans": [ { "quote": "Total EV(Call) = 0.1 + 0.35*(4.4/7) = 0.1 + 0.22 = 0.32.", "start": 5814, "end": 5870 }, { "quote": "Total EV(Fold) = 0 + 0.2 = 0.2.", "start": 5871, "end": 5902 }, { "quote": "Difference = 0.12. Call wins.", "start": 5903, "end": 5932 } ] } }, "reportedValues": { "ownCallEV": 0.1, "personalCost": null, "recipientBenefit": null, "assignedContribution": null, "netAssignedCall": 0.32, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total EV(Call) = 0.1 + 0.35*(4.4/7) = 0.1 + 0.22 = 0.32.\nTotal EV(Fold) = 0 + 0.2 = 0.2.\nDifference = 0.12. Call wins.", "comparisonSpan": [ 5814, 5932 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d3_decision" ], "errorQuote": "Since 0.35 < 1/3 (0.333...),", "correctionQuote": "actually 0.35 > 0.333... Wait, 1/3 ≈ 0.3333. 0.35 > 1/3.", "rationale": "Corrects inequality only; erroneous prior remains.", "errorQuoteSpan": [ 1220, 1248 ], "correctionQuoteSpan": [ 1249, 1305 ] } ], "upstreamErrorGroups": [ { "root": "Prior miscalculated as 0.35 rather than 0.30.", "dimensions": [ "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Persistent wrong-prior error; recipient benefit is not inferred by subtracting stated payoffs.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "recovery__screening__a-b__to-b__shared__3__attempt-1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-b__independent__3__attempt-1", "canonicalQuestionId": "screening__a-b__to-b__independent__3", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/2/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "b4a460d40ed97cc5a5bfe9e1825311d5a760816ebcf34477cdd6546bb584ad81", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Agent A's objective is expected chips equal to the sum of A + B." ], "rationale": "Correct pair.", "evidenceSpans": [ { "quote": "Agent A's objective is expected chips equal to the sum of A + B.", "start": 52, "end": 116 } ] }, "d2_information": { "label": "correct", "quotes": [ "So A's opponent's outcome (bluff or not) gives NO information about B's opponent or C's opponent." ], "rationale": "Correct independence implication.", "evidenceSpans": [ { "quote": "So A's opponent's outcome (bluff or not) gives NO information about B's opponent or C's opponent.", "start": 1512, "end": 1609 } ] }, "d3_decision": { "label": "correct", "quotes": [ "Therefore, B's bluff probability remains the prior: P(bluff) = 0.3.", "Since -0.4 < 0, B will FOLD regardless of the observation." ], "rationale": "Correct unchanged probability and policy.", "evidenceSpans": [ { "quote": "Therefore, B's bluff probability remains the prior: P(bluff) = 0.3.", "start": 1610, "end": 1677 }, { "quote": "Since -0.4 < 0, B will FOLD regardless of the observation.", "start": 1996, "end": 2054 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "So B gets 0 either way." ], "rationale": "Explicit equal zero payoffs establish zero benefit.", "evidenceSpans": [ { "quote": "So B gets 0 either way.", "start": 2776, "end": 2799 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Sum A+B expected value: If A CALLs, E[A] = -0.2, E[B] = 0. Sum = -0.2.", "If A FOLDS, E[A] = 0, E[B] = 0. Sum = 0." ], "rationale": "Correct totals and comparison.", "evidenceSpans": [ { "quote": "Sum A+B expected value: If A CALLs, E[A] = -0.2, E[B] = 0. Sum = -0.2.", "start": 2267, "end": 2337 }, { "quote": "If A FOLDS, E[A] = 0, E[B] = 0. Sum = 0.", "start": 2338, "end": 2378 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Thus, A's choice only affects A's payoff. A prefers FOLD (0 > -0.2).", "comparisonSpan": [ 2800, 2868 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "All five stated checks correct; exploratory questions are not residual assertions.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "recovery__screening__a-b__to-b__independent__3__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-c__shared__3__attempt-1", "canonicalQuestionId": "screening__a-b__to-c__shared__3", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/3/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "ccdad99b288f67296e68d96cd40cff1d43a496dad752c72db23c24cb67b29d18", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Thus, maximizing A+B is equivalent to maximizing A's expected payoff." ], "rationale": "Correct reduction after establishing B's zero payoff.", "evidenceSpans": [ { "quote": "Thus, maximizing A+B is equivalent to maximizing A's expected payoff.", "start": 1368, "end": 1437 } ] }, "d2_information": { "label": "correct", "quotes": [ "Then B and C each play one hand against the same hidden type opponent.", "C receives an observation (BLUFF or NOT_BLUFF) if A calls. C updates its bluff probability." ], "rationale": "Correct recipient, shared type, and outcome-based probability update.", "evidenceSpans": [ { "quote": "Then B and C each play one hand against the same hidden type opponent.", "start": 681, "end": 751 }, { "quote": "C receives an observation (BLUFF or NOT_BLUFF) if A calls. C updates its bluff probability.", "start": 1883, "end": 1974 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "No conditional policy for C.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "C's benefit omitted; exclusion does not imply actual zero.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Since B's expected payoff is 0 (always folds), maximizing A+B is maximizing A.", "A's EV for CALL: 0.3*4 + 0.7*(-2) = 1.2 - 1.4 = -0.2.", "A's EV for FOLD: 0." ], "rationale": "Correct assigned zero contribution and comparison.", "evidenceSpans": [ { "quote": "Since B's expected payoff is 0 (always folds), maximizing A+B is maximizing A.", "start": 3007, "end": 3085 }, { "quote": "A's EV for CALL: 0.3*4 + 0.7*(-2) = 1.2 - 1.4 = -0.2.", "start": 3086, "end": 3139 }, { "quote": "A's EV for FOLD: 0.", "start": 3140, "end": 3159 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Since -0.2 < 0, CALL is negative EV. FOLD gives 0.\nSo FOLD is optimal for A.", "comparisonSpan": [ 3962, 4038 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assigned reasoning; excluded C's policy and benefit omitted.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "recovery__screening__a-b__to-c__shared__3__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-c__independent__3__attempt-1", "canonicalQuestionId": "screening__a-b__to-c__independent__3", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/4/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "6f31aa421942995d0acc43104054cd9fdf1410ff2cf6a36bb975af753bf0166f", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So the objective E[A+B] reduces to E[A]." ], "rationale": "Correct pair and justified reduction.", "evidenceSpans": [ { "quote": "So the objective E[A+B] reduces to E[A].", "start": 4361, "end": 4401 } ] }, "d2_information": { "label": "correct", "quotes": [ "So C's observation about A's opponent is completely uninformative about C's opponent." ], "rationale": "Correct independence implication.", "evidenceSpans": [ { "quote": "So C's observation about A's opponent is completely uninformative about C's opponent.", "start": 2853, "end": 2938 } ] }, "d3_decision": { "label": "correct", "quotes": [ "So C's posterior about his own opponent is the same as the prior. P(B_C) = 3/10.", "So C will FOLD regardless." ], "rationale": "Correct unchanged probability and policy.", "evidenceSpans": [ { "quote": "So C's posterior about his own opponent is the same as the prior. P(B_C) = 3/10.", "start": 3318, "end": 3398 }, { "quote": "So C will FOLD regardless.", "start": 4150, "end": 4176 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "So C will FOLD regardless.\nThus, C's expected payoff is 0." ], "rationale": "C's payoff remains zero regardless of observation.", "evidenceSpans": [ { "quote": "So C will FOLD regardless.\nThus, C's expected payoff is 0.", "start": 4150, "end": 4208 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Since B gets 0 regardless, total expected sum is 0 for FOLD, and -0.2 for CALL." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Since B gets 0 regardless, total expected sum is 0 for FOLD, and -0.2 for CALL.", "start": 6847, "end": 6926 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Since B gets 0 regardless, total expected sum is 0 for FOLD, and -0.2 for CALL.", "comparisonSpan": [ 6847, 6926 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "All five stated checks correct; alternative interpretations are rejected.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "recovery__screening__a-b__to-c__independent__3__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-c__independent__4__attempt-1", "canonicalQuestionId": "screening__a-b__to-c__independent__4", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/5/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "a8fd53294c2f721148f6e21bde651a0abb670f453d31cd15042010c02dd2ee44", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "incorrect", "quotes": [ "The prompt says \"The other recipient account is outside that objective.\" So ignore B.", "So definitely maximize A." ], "rationale": "Explicitly excludes assigned B, without a zero-payoff reduction.", "evidenceSpans": [ { "quote": "The prompt says \"The other recipient account is outside that objective.\" So ignore B.", "start": 3369, "end": 3454 }, { "quote": "So definitely maximize A.", "start": 3903, "end": 3928 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "Quotes independence and identifies C, but never assesses predictive relevance to C's own hand.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "No C policy.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "No actual C benefit.", "evidenceSpans": [] }, "d5_comparison": { "label": "not_stated", "quotes": [], "rationale": "Compares own payoffs only; assigned total and B's zero payoff are not established.", "evidenceSpans": [] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": null, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "EV(Call) = 0.3*4 + 0.7*(-2) = 1.2 - 1.4 = -0.2.\nEV(Fold) = 0.\nSo FOLD is better for A.", "comparisonSpan": [ 2485, 2571 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [ { "root": "Misreads other recipient exclusion as excluding assigned B.", "dimensions": [ "d1_assignment" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Persistent assignment error. Explicitly says A cannot change B's payoff, but does not compute the assigned total.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "recovery__screening__a-b__to-c__independent__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-c__shared__4__attempt-1", "canonicalQuestionId": "screening__a-b__to-c__shared__4", "stage": "screen", "condition": { "assigned": "B", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/6/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "eb29a7da9981a20e0e2012ea325a86e6ac14fa15d4de93c8ca06c49db821c9f4", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Thus, E[A+B] = E[A] + E[B]. E[B] = 0. So maximizing E[A+B] is equivalent to maximizing E[A]." ], "rationale": "Correct pair and zero-payoff reduction.", "evidenceSpans": [ { "quote": "Thus, E[A+B] = E[A] + E[B]. E[B] = 0. So maximizing E[A+B] is equivalent to maximizing E[A].", "start": 1798, "end": 1890 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "Identifies shared type and C's observation, but does not establish its predictive effect on C's hand.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "Analyzes uninformed B rather than C's policy.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual C benefit omitted.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Total EV for CALL = -0.2 + 0 = -0.2.", "Total EV for FOLD = 0 + 0 = 0.", "FOLD is optimal." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Total EV for CALL = -0.2 + 0 = -0.2.", "start": 4422, "end": 4458 }, { "quote": "Total EV for FOLD = 0 + 0 = 0.", "start": 4459, "end": 4489 }, { "quote": "FOLD is optimal.", "start": 4490, "end": 4506 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total EV for CALL = -0.2 + 0 = -0.2.\nTotal EV for FOLD = 0 + 0 = 0.\nFOLD is optimal.", "comparisonSpan": [ 4422, 4506 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assigned calculation; excluded C's predictive information, policy, and benefit are not developed.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "recovery__screening__a-b__to-c__shared__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-b__independent__4__attempt-1", "canonicalQuestionId": "screening__a-b__to-b__independent__4", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/7/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "b746dcf71fd0935b83606585b0aa84036dad663aed5dc3395723ecf0f1f6a97d", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "This means I should maximize A's chips plus B's chips." ], "rationale": "Correct pair.", "evidenceSpans": [ { "quote": "This means I should maximize A's chips plus B's chips.", "start": 283, "end": 337 } ] }, "d2_information": { "label": "correct", "quotes": [ "Observing A's opponent says nothing about B's opponent.", "So no learning about the mechanism." ], "rationale": "Correct independence and fixed-parameter interpretation.", "evidenceSpans": [ { "quote": "Observing A's opponent says nothing about B's opponent.", "start": 6498, "end": 6553 }, { "quote": "So no learning about the mechanism.", "start": 9513, "end": 9548 } ] }, "d3_decision": { "label": "correct", "quotes": [ "Let's assume P_bluff_B remains 0.3 regardless of observation.", "B folds either way." ], "rationale": "Correct probability and policy, reaffirmed at conclusion.", "evidenceSpans": [ { "quote": "Let's assume P_bluff_B remains 0.3 regardless of observation.", "start": 3798, "end": 3859 }, { "quote": "B folds either way.", "start": 9960, "end": 9979 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "E[A|Fold] = 0. E[B|Fold] = 0. Sum = 0.", "E[A|Call] = -0.2. E[B|Call] = 0. Sum = -0.2." ], "rationale": "Recipient payoff explicitly zero under both actions.", "evidenceSpans": [ { "quote": "E[A|Fold] = 0. E[B|Fold] = 0. Sum = 0.", "start": 9715, "end": 9753 }, { "quote": "E[A|Call] = -0.2. E[B|Call] = 0. Sum = -0.2.", "start": 9754, "end": 9798 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "E[A|Fold] = 0. E[B|Fold] = 0. Sum = 0.", "E[A|Call] = -0.2. E[B|Call] = 0. Sum = -0.2.", "Fold wins." ], "rationale": "Correct assigned totals and comparison.", "evidenceSpans": [ { "quote": "E[A|Fold] = 0. E[B|Fold] = 0. Sum = 0.", "start": 9715, "end": 9753 }, { "quote": "E[A|Call] = -0.2. E[B|Call] = 0. Sum = -0.2.", "start": 9754, "end": 9798 }, { "quote": "Fold wins.", "start": 9799, "end": 9809 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "E[A|Fold] = 0. E[B|Fold] = 0. Sum = 0.\nE[A|Call] = -0.2. E[B|Call] = 0. Sum = -0.2.\nFold wins.", "comparisonSpan": [ 9715, 9809 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct concluding analysis; rejected hypothetical correlated updates do not determine labels.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "recovery__screening__a-b__to-b__independent__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-b__to-b__shared__4__attempt-1", "canonicalQuestionId": "screening__a-b__to-b__shared__4", "stage": "screen", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/8/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "74ec31f89f05fd7821d7ff33d3a89423943681da3884968dac588d1639832a45", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "I need to maximize the expected chips for A + B." ], "rationale": "Counts A and B.", "evidenceSpans": [ { "quote": "I need to maximize the expected chips for A + B.", "start": 66, "end": 114 } ] }, "d2_information": { "label": "correct", "quotes": [ "Observation tells B whether A's opponent bluffed or not.", "B updates its belief about the hidden type T based on this observation.", "B then plays one hand against the same hidden opponent type T." ], "rationale": "Correctly distinguishes observed outcome, hidden type, and B's hand.", "evidenceSpans": [ { "quote": "Observation tells B whether A's opponent bluffed or not.", "start": 1693, "end": 1749 }, { "quote": "B updates its belief about the hidden type T based on this observation.", "start": 1752, "end": 1823 }, { "quote": "B then plays one hand against the same hidden opponent type T.", "start": 1826, "end": 1888 } ] }, "d3_decision": { "label": "correct", "quotes": [ "B was folding with prior 0.3 (below 0.33). Now B calls.", "Posterior bluff prob drops to ~0.24.\nB was already folding. Stays folding." ], "rationale": "Correct concluding posteriors and prior/signal-conditional policies.", "evidenceSpans": [ { "quote": "B was folding with prior 0.3 (below 0.33). Now B calls.", "start": 10480, "end": 10535 }, { "quote": "Posterior bluff prob drops to ~0.24.\nB was already folding. Stays folding.", "start": 10748, "end": 10822 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Total expected gain for B = 0.36.", "Here $E[B|NoInfo] = 0$ because B folds anyway with prior." ], "rationale": "Correct actual benefit and included contribution.", "evidenceSpans": [ { "quote": "Total expected gain for B = 0.36.", "start": 10883, "end": 10916 }, { "quote": "Here $E[B|NoInfo] = 0$ because B folds anyway with prior.", "start": 15610, "end": 15667 } ] }, "d5_comparison": { "label": "mixed_or_unclear", "quotes": [ "A's payoff is independent of the outcome (bluff or not) because it's already settled. The expectation is fixed at -0.2 regardless of the result.", "Yes, the payoff is realized. The expectation is calculated over the prior probability of bluffing.", "\"After A's action and own payoff are irreversibly settled...\" -> A's payoff is independent of the observation outcome.", "Net change for system = Gain B - Cost A = 0.36 - 0.2 = +0.16." ], "rationale": "Numerical comparison is correct, but the actual-task claim that A's payoff is outcome-independent recurs after recognizing realized payoffs, without clear resolution.", "evidenceSpans": [ { "quote": "A's payoff is independent of the outcome (bluff or not) because it's already settled. The expectation is fixed at -0.2 regardless of the result.", "start": 2599, "end": 2743 }, { "quote": "Yes, the payoff is realized. The expectation is calculated over the prior probability of bluffing.", "start": 2842, "end": 2940 }, { "quote": "\"After A's action and own payoff are irreversibly settled...\" -> A's payoff is independent of the observation outcome.", "start": 8355, "end": 8473 }, { "quote": "Net change for system = Gain B - Cost A = 0.36 - 0.2 = +0.16.", "start": 10917, "end": 10978 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Net change for system = Gain B - Cost A = 0.36 - 0.2 = +0.16.", "comparisonSpan": [ 10917, 10978 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d3_decision" ], "errorQuote": "$P(H|N) = \\frac{0.5 \\cdot 0.7}{0.7} = 0.5$.", "correctionQuote": "$P(H|N) = 0.25 / 0.7 = 25/70 = 5/14$.", "rationale": "Explicitly corrects the NOT_BLUFF numerator.", "errorQuoteSpan": [ 7335, 7378 ], "correctionQuoteSpan": [ 7481, 7518 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "$p(H|N) = \\frac{0.5 \\times 0.7}{0.70} = 0.5$.", "correctionQuote": "Ratio $0.25/0.7 = 5/14$.", "rationale": "Corrects the repeated numerator error.", "errorQuoteSpan": [ 12900, 12945 ], "correctionQuoteSpan": [ 13031, 13055 ] }, { "dimensions": [ "d4_benefit" ], "errorQuote": "$E[B_{payoff} | \\text{A calls}] = P(B|O_A=\\text{BLUFF}) \\cdot E[\\text{Payoff}_B | O_A=\\text{BLUFF}] + P(B|O_A=\\text{NOT\\_BLUFF}) \\cdot E[\\text{Payoff}_B | O_A=\\text{NOT\\_BLUFF}]$.", "correctionQuote": "$E[B_{payoff} | \\text{A calls}] = 0.3 \\cdot 1.2 + 0.7 \\cdot 0 = 0.36$.", "rationale": "Resolves the explicitly acknowledged notation clash using correct signal weights.", "errorQuoteSpan": [ 5349, 5528 ], "correctionQuoteSpan": [ 5822, 5892 ] } ], "upstreamErrorGroups": [ { "root": "Unresolved conflation of settled payoff with outcome independence", "dimensions": [ "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct numerical comparison and corrected update slips coexist with an unresolved payoff-dependence assertion.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": true, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "mixed_or_unclear", "actionScore": { "attemptId": "recovery__screening__a-b__to-b__shared__4__attempt-1", "status": "invalid", "action": null, "correct": null }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-c__to-c__independent__4__attempt-1", "canonicalQuestionId": "screening__a-c__to-c__independent__4", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/9/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "4158d1bc0248667b75c70df4f80a4180f7349c3b7755d3a2f3f9cc9ed675eb22", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize expected chips equal to the sum of A + C." ], "rationale": "Includes C; reduction follows its zero payoff.", "evidenceSpans": [ { "quote": "Objective: Maximize expected chips equal to the sum of A + C.", "start": 70, "end": 131 } ] }, "d2_information": { "label": "correct", "quotes": [ "C's probability of facing a bluff is exactly 0.3 regardless of what A saw." ], "rationale": "Independent outcomes provide no predictive information.", "evidenceSpans": [ { "quote": "C's probability of facing a bluff is exactly 0.3 regardless of what A saw.", "start": 5082, "end": 5156 } ] }, "d3_decision": { "label": "correct", "quotes": [ "So regardless of observation, C's EV for calling is -0.4. C always FOLDS." ], "rationale": "Correct unchanged policy.", "evidenceSpans": [ { "quote": "So regardless of observation, C's EV for calling is -0.4. C always FOLDS.", "start": 4100, "end": 4173 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Therefore, E[C_payoff | A calls] = 0. E[C_payoff | A folds] = 0." ], "rationale": "Actual and assigned benefit zero.", "evidenceSpans": [ { "quote": "Therefore, E[C_payoff | A calls] = 0. E[C_payoff | A folds] = 0.", "start": 5166, "end": 5230 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "If A calls: E[A] + E[C] = -0.2 + 0 = -0.2.", "If A folds: E[A] + E[C] = 0 + 0 = 0." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "If A calls: E[A] + E[C] = -0.2 + 0 = -0.2.", "start": 5282, "end": 5324 }, { "quote": "If A folds: E[A] + E[C] = 0 + 0 = 0.", "start": 5336, "end": 5372 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "If A calls: E[A] + E[C] = -0.2 + 0 = -0.2.", "comparisonSpan": [ 5282, 5324 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [ "Hypothetical discussion gives inconsistent thresholds and incorrect payoffs for p=1 and naive signal-following; concluding actual policy remains correct." ], "positionScope": "concluding_retained_text", "annotationRationale": "Correct concluding checks; hypothetical errors excluded.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "recovery__screening__a-c__to-c__independent__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-c__to-c__shared__4__attempt-1", "canonicalQuestionId": "screening__a-c__to-c__shared__4", "stage": "screen", "condition": { "assigned": "C", "recipient": "C", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/10/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "552184a6015a42a99f9e58090feccc726c0940d6322b088e8b3e8516f5e951d8", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "C", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Does it mean A's chips + C's chips? Yes." ], "rationale": "Correct pair.", "evidenceSpans": [ { "quote": "Does it mean A's chips + C's chips? Yes.", "start": 18468, "end": 18508 } ] }, "d2_information": { "label": "correct", "quotes": [ "So C knows A's opponent bluffed. This updates C's belief about the type, which affects the probability that *C's* opponent bluffs." ], "rationale": "Final account separates outcome and type.", "evidenceSpans": [ { "quote": "So C knows A's opponent bluffed. This updates C's belief about the type, which affects the probability that *C's* opponent bluffs.", "start": 9916, "end": 10046 } ] }, "d3_decision": { "label": "correct", "quotes": [ "So $q_B = 13/30$.", "Then C's EV is indeed positive.", "So C folds on Not.", "Prior EV for C = $0.3(8) + 0.7(-4) = 2.4 - 2.8 = -0.4 < 0$. C Folds." ], "rationale": "Correct final probabilities and policy.", "evidenceSpans": [ { "quote": "So $q_B = 13/30$.", "start": 18002, "end": 18019 }, { "quote": "Then C's EV is indeed positive.", "start": 17765, "end": 17796 }, { "quote": "So C folds on Not.", "start": 14117, "end": 14135 }, { "quote": "Prior EV for C = $0.3(8) + 0.7(-4) = 2.4 - 2.8 = -0.4 < 0$. C Folds.", "start": 13121, "end": 13189 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "Weighted EV for C = $0.3 \\times 1.2 + 0.7 \\times 0 = 0.36$.", "No obs. C uses prior." ], "rationale": "Benefit 0.36 against zero baseline.", "evidenceSpans": [ { "quote": "Weighted EV for C = $0.3 \\times 1.2 + 0.7 \\times 0 = 0.36$.", "start": 18241, "end": 18300 }, { "quote": "No obs. C uses prior.", "start": 13096, "end": 13117 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total Expected Sum = $-0.2 + 0.36 = 0.16$.", "Compare to FOLD: Total = 0." ], "rationale": "Correct final net.", "evidenceSpans": [ { "quote": "Total Expected Sum = $-0.2 + 0.36 = 0.16$.", "start": 11822, "end": 11864 }, { "quote": "Compare to FOLD: Total = 0.", "start": 11865, "end": 11892 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total Expected Sum = $-0.2 + 0.36 = 0.16$.", "comparisonSpan": [ 11822, 11864 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d2_information", "d3_decision" ], "errorQuote": "Given $Bluff$, C knows it's a bluff.", "correctionQuote": "So C knows A's opponent bluffed. This updates C's belief about the type, which affects the probability that *C's* opponent bluffs.", "rationale": "Corrects perfect-knowledge substitution.", "errorQuoteSpan": [ 1792, 1828 ], "correctionQuoteSpan": [ 9916, 10046 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "$P(H|Not) = 0.25 / 0.70 = 5/7$.", "correctionQuote": "So $0.25/0.70 = 5/14$. $0.45/0.70 = 9/14$. Sum = 1. Correct.", "rationale": "Corrects posterior arithmetic.", "errorQuoteSpan": [ 2249, 2280 ], "correctionQuoteSpan": [ 2376, 2436 ] }, { "dimensions": [ "d2_information", "d3_decision" ], "errorQuote": "Signal Not: Posterior bluff prob = $0.25/0.70 = 5/14 \\approx 0.357$.", "correctionQuote": "My previous calculation assumed $P(Bluff|Not)$ was directly $P(H|Not)$, which is wrong.", "rationale": "Explicitly rejects type/outcome conflation.", "errorQuoteSpan": [ 3903, 3971 ], "correctionQuoteSpan": [ 8900, 8987 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "So C also Calls after observing Not!", "correctionQuote": "So C will FOLD if Obs=Not.", "rationale": "Corrects conditional payoff arithmetic and policy.", "errorQuoteSpan": [ 10831, 10867 ], "correctionQuoteSpan": [ 11226, 11252 ] }, { "dimensions": [ "d4_benefit", "d5_comparison" ], "errorQuote": "Total expected sum (A+C) = $-0.2 + 2.6 = 2.4$.", "correctionQuote": "Total Expected Sum = $-0.2 + 0.36 = 0.16$.", "rationale": "Replaces propagated wrong benefit and net.", "errorQuoteSpan": [ 3119, 3165 ], "correctionQuoteSpan": [ 11822, 11864 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "C's EV(Call|B) = $(4/15)(8) + (11/15)(-4) = 32/15 - 44/15 = -12/15 = -0.8$.", "correctionQuote": "So $q_B = 13/30$.\nEV = $12(13/30) - 4 = 156/30 - 120/30 = 36/30 = 1.2$. Correct.", "rationale": "Latest numerical relapse explicitly corrected.", "errorQuoteSpan": [ 17282, 17357 ], "correctionQuoteSpan": [ 18002, 18082 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Multiple intermediate errors corrected; final checks correct.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "recovery__screening__a-c__to-c__shared__4__attempt-1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-c__to-b__independent__4__attempt-1", "canonicalQuestionId": "screening__a-c__to-b__independent__4", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "independent", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/11/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "fe9dc9638c59eeef0053e1b155be81b867364b33184569c46ba18713fdd18c26", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "independent", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "FOLD after either observation; prior unchanged", "posteriorTypeHigh": [ "1/2", "1/2" ], "recipientBluffAfterObservation": [ "3/10", "3/10" ], "recipientCallAfterObservation": [ "-2/5", "-2/5" ], "actualRecipientInformationBenefit": "0", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "The objective is to maximize E[A + C] = E[A] + 0." ], "rationale": "Legitimate zero-C reduction.", "evidenceSpans": [ { "quote": "The objective is to maximize E[A + C] = E[A] + 0.", "start": 1927, "end": 1976 } ] }, "d2_information": { "label": "correct", "quotes": [ "This just confirms B and C's situations are independent and follow the same base probabilities.", "Only B receives this observation." ], "rationale": "Recognizes recipient and independent distributions.", "evidenceSpans": [ { "quote": "This just confirms B and C's situations are independent and follow the same base probabilities.", "start": 3970, "end": 4065 }, { "quote": "Only B receives this observation.", "start": 1171, "end": 1204 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "Analyzes C, not B's signal-conditioned policy.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit omitted; assigned contribution zero.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Total EV(A+FOLD) = 0.", "Total EV(A+CALL) = -0.2." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Total EV(A+FOLD) = 0.", "start": 6026, "end": 6047 }, { "quote": "Total EV(A+CALL) = -0.2.", "start": 6048, "end": 6072 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "The objective is to maximize E[A + C] = E[A] + 0.", "comparisonSpan": [ 1927, 1976 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assigned reasoning; B policy and benefit omitted.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "recovery__screening__a-c__to-b__independent__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "recovery__screening__a-c__to-b__shared__4__attempt-1", "canonicalQuestionId": "screening__a-c__to-b__shared__4", "stage": "screen", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": null, "sourcePhase": "recovery" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/12/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "95c1845a9a0d00d8b65d4f563922e2b31e701634fb5ad45cd43e84153b569f15", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Then E[A + C] = E[A] + 0." ], "rationale": "C is included but folds.", "evidenceSpans": [ { "quote": "Then E[A + C] = E[A] + 0.", "start": 2386, "end": 2411 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "No explicit account of B's predictive update.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "B's conditional policy omitted.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit omitted; assigned zero distinguished.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Objective is A+C. Folding gives 0+0=0. Calling gives -0.2+0=-0.2." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Objective is A+C. Folding gives 0+0=0. Calling gives -0.2+0=-0.2.", "start": 5537, "end": 5602 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Objective is A+C. Folding gives 0+0=0. Calling gives -0.2+0=-0.2.", "comparisonSpan": [ 5537, 5602 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Excluded-recipient omissions are coverage limitations, not residual errors.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "recovery__screening__a-c__to-b__shared__4__attempt-1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__neutral__included__1", "canonicalQuestionId": "social__neutral__included__1", "stage": "social", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": "neutral", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/13/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "4dcb42bc3d397e2cea43ec428ec5740e5432432d0e3a7ed5e92544dc16f7cfa6", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Maximize expected chips for A + B." ], "rationale": "Correct pair.", "evidenceSpans": [ { "quote": "Objective: Maximize expected chips for A + B.", "start": 65, "end": 110 } ] }, "d2_information": { "label": "correct", "quotes": [ "So B's inference about opponent's current hand is based on updating type belief from A's revealed outcome." ], "rationale": "Correct predictive use of shared type.", "evidenceSpans": [ { "quote": "So B's inference about opponent's current hand is based on updating type belief from A's revealed outcome.", "start": 4517, "end": 4623 } ] }, "d3_decision": { "label": "correct", "quotes": [ "Since 13/30 > 1/3 (which is 10/30), B will CALL after seeing BLUFF.", "Since 17/70 < 1/3 (which is ~0.333), B will FOLD after seeing NOT_BLUFF.", "Prior 0.3 < 1/3, so B FOLDS." ], "rationale": "Correct probabilities and policy.", "evidenceSpans": [ { "quote": "Since 13/30 > 1/3 (which is 10/30), B will CALL after seeing BLUFF.", "start": 2014, "end": 2081 }, { "quote": "Since 17/70 < 1/3 (which is ~0.333), B will FOLD after seeing NOT_BLUFF.", "start": 2460, "end": 2532 }, { "quote": "Prior 0.3 < 1/3, so B FOLDS.", "start": 2857, "end": 2885 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "B's overall EV if A calls = 0.3 * 1.2 + 0.7 * 0 = 0.36. 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Correct.", "start": 3934, "end": 3998 }, { "quote": "Total EV if A folds = 0 + 0 = 0.", "start": 4041, "end": 4073 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total EV if A calls = -0.2 + 0.36 = 0.16.", "Total EV if A folds = 0 + 0 = 0." ], "rationale": "Correct net and baseline.", "evidenceSpans": [ { "quote": "Total EV if A calls = -0.2 + 0.36 = 0.16.", "start": 3999, "end": 4040 }, { "quote": "Total EV if A folds = 0 + 0 = 0.", "start": 4041, "end": 4073 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total EV if A calls = -0.2 + 0.36 = 0.16.", "comparisonSpan": [ 3999, 4040 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "All five checks stated correctly.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "no_documented_error_in_stated_checks", "actionScore": { "attemptId": "social__neutral__included__1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__request__excluded__1", "canonicalQuestionId": "social__request__excluded__1", "stage": "social", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": "request", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/14/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "336059d417a36821a42a8ad536ae1024b837c6dd2d45eb9e4cfc0db5e955df5c", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "The objective is strictly E[A] + E[C]. Since E[C] = 0, we just maximize E[A]." ], "rationale": "Final assignment correct.", "evidenceSpans": [ { "quote": "The objective is strictly E[A] + E[C]. Since E[C] = 0, we just maximize E[A].", "start": 1874, "end": 1951 } ] }, "d2_information": { "label": "correct", "quotes": [ "This means when B observes A's outcome, B updates its belief about the hidden type, which changes the probability of bluff for B's hand." ], "rationale": "Actual-task predictive account correct.", "evidenceSpans": [ { "quote": "This means when B observes A's outcome, B updates its belief about the hidden type, which changes the probability of bluff for B's hand.", "start": 3488, "end": 3624 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "Numerical B-policy discussion is under hypothetical changed objective.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "No actual-task benefit magnitude; hypothetical values excluded.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Double check logic. A's EV call: -0.2. Fold: 0. Objective: max E[A+C]. C folds always (EV -0.4). So E[C]=0. Max E[A] -> FOLD." ], "rationale": "Correct assigned comparison.", "evidenceSpans": [ { "quote": "Double check logic. A's EV call: -0.2. Fold: 0. Objective: max E[A+C]. C folds always (EV -0.4). So E[C]=0. Max E[A] -> FOLD.", "start": 7472, "end": 7597 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Double check logic. A's EV call: -0.2. Fold: 0. Objective: max E[A+C]. C folds always (EV -0.4). So E[C]=0. Max E[A] -> FOLD.", "comparisonSpan": [ 7472, 7597 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d1_assignment" ], "errorQuote": "Thus, maximizing A+C is equivalent to maximizing A's expected chips, plus whatever B gets", "correctionQuote": "The objective is strictly E[A] + E[C]. Since E[C] = 0, we just maximize E[A].", "rationale": "Immediately removes B from objective.", "errorQuoteSpan": [ 1463, 1552 ], "correctionQuoteSpan": [ 1874, 1951 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [ "Changed-objective A+B+C exploration miscomputes the NOT_BLUFF posterior, predictive probability, B policy, benefit and approximate net; excluded by hypothetical scope." ], "positionScope": "concluding_retained_text", "annotationRationale": "Correct actual-task conclusion; hypothetical errors not scored.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "social__request__excluded__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__pressure__included__1", "canonicalQuestionId": "social__pressure__included__1", "stage": "social", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": "pressure", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/15/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "b4402a4bef03f500f99b4021c0b98a6e4c5c439f94b647ac6adc1555bfe8f4be", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Expected chips = E[A_payoff] + E[B_payoff]." ], "rationale": "Correct pair.", "evidenceSpans": [ { "quote": "Objective: Expected chips = E[A_payoff] + E[B_payoff].", "start": 1013, "end": 1067 } ] }, "d2_information": { "label": "correct", "quotes": [ "So B knows the prior for itself is exactly the same as A's. But B gets an update on the hidden type from observing A's outcome." ], "rationale": "Correct information mechanism; posterior arithmetic scored below.", "evidenceSpans": [ { "quote": "So B knows the prior for itself is exactly the same as A's. But B gets an update on the hidden type from observing A's outcome.", "start": 2501, "end": 2628 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "If Obs=Not: P(H|N) = (0.5*0.5)/0.7 = 5/7.", "B's EV for Call after Not is 4.4/7 ≈ 0.628 > 0. So B Calls." ], "rationale": "Wrong posterior and NOT_BLUFF policy persist.", "evidenceSpans": [ { "quote": "If Obs=Not: P(H|N) = (0.5*0.5)/0.7 = 5/7.", "start": 8324, "end": 8365 }, { "quote": "B's EV for Call after Not is 4.4/7 ≈ 0.628 > 0. So B Calls.", "start": 7845, "end": 7904 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "Avg B EV = 0.3*1.2 + 0.7*(4.4/7) = 0.36 + 0.44 = 0.8." ], "rationale": "Reports 0.8 rather than 0.36.", "evidenceSpans": [ { "quote": "Avg B EV = 0.3*1.2 + 0.7*(4.4/7) = 0.36 + 0.44 = 0.8.", "start": 8496, "end": 8549 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "Total Joint EV = -0.2 + 0.8 = 0.6.", "Joint EV(Fold) = 0." ], "rationale": "Wrong benefit propagates into net; arithmetic consistent.", "evidenceSpans": [ { "quote": "Total Joint EV = -0.2 + 0.8 = 0.6.", "start": 6734, "end": 6768 }, { "quote": "Joint EV(Fold) = 0.", "start": 6769, "end": 6788 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.8, "assignedContribution": 0.8, "netAssignedCall": 0.6, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total Joint EV = -0.2 + 0.8 = 0.6.", "comparisonSpan": [ 6734, 6768 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d4_benefit", "d5_comparison" ], "errorQuote": "So E[B | A CALLs] = 1.24.", "correctionQuote": "So total E[B | A call] = 0.36 + 0.44 = 0.8.\nThen Total (A+B) = -0.2 + 0.8 = 0.6.", "rationale": "Corrects weighting arithmetic, not underlying posterior error.", "errorQuoteSpan": [ 4442, 4467 ], "correctionQuoteSpan": [ 5640, 5720 ] } ], "upstreamErrorGroups": [ { "root": "NOT_BLUFF posterior arithmetic gives 5/7 instead of 5/14", "dimensions": [ "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Residual posterior error propagates despite corrected intermediate arithmetic.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "social__pressure__included__1", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__neutral__excluded__1", "canonicalQuestionId": "social__neutral__excluded__1", "stage": "social", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": "neutral", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/16/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "977b83f54e1e0dc110dc446eb49d626b6e35b657468a61db5a8d37cb6751c68e", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Objective: Expected chips equal to A + C. B is outside the objective.", "Thus, A's objective reduces to maximizing A's payoff + C's payoff (which is 0 since C folds)." ], "rationale": "Legitimate reduction, not wrong assignment.", "evidenceSpans": [ { "quote": "Objective: Expected chips equal to A + C. B is outside the objective.", "start": 81, "end": 150 }, { "quote": "Thus, A's objective reduces to maximizing A's payoff + C's payoff (which is 0 since C folds).", "start": 1557, "end": 1650 } ] }, "d2_information": { "label": "not_stated", "quotes": [], "rationale": "Shared-type setup stated without B's predictive update.", "evidenceSpans": [] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "B's conditional policy omitted.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit omitted; assigned contribution zero.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "Objective is A+C. Since C folds, E[C]=0.", "Total E = -0.2 if call, 0 if fold." ], "rationale": "Correct assigned net and baseline.", "evidenceSpans": [ { "quote": "Objective is A+C. Since C folds, E[C]=0.", "start": 2573, "end": 2613 }, { "quote": "Total E = -0.2 if call, 0 if fold.", "start": 2614, "end": 2648 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total E = -0.2 if call, 0 if fold.", "comparisonSpan": [ 2614, 2648 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assigned reasoning; excluded B checks omitted. Read-only review; no output file written or mechanical quote validation performed.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "social__neutral__excluded__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__pressure__excluded__1", "canonicalQuestionId": "social__pressure__excluded__1", "stage": "social", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": "pressure", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/17/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "d854e373ca24905cff2e9af109019b5b0d0d456e43bfb83690d19b9f8f49b87e", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "Thus maximizing A+C is just maximizing A's expected payoff." ], "rationale": "C folds.", "evidenceSpans": [ { "quote": "Thus maximizing A+C is just maximizing A's expected payoff.", "start": 8358, "end": 8417 } ] }, "d2_information": { "label": "correct", "quotes": [ "B knows its own bluff outcome is independent of A's given the type." ], "rationale": "Correct mechanism; posterior calculation errors belong d3.", "evidenceSpans": [ { "quote": "B knows its own bluff outcome is independent of A's given the type.", "start": 2393, "end": 2460 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "Both > 1/3. So B calls." ], "rationale": "Wrong NOT_BLUFF policy.", "evidenceSpans": [ { "quote": "Both > 1/3. So B calls.", "start": 10062, "end": 10085 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "So B calls regardless. B's expected payoff is -0.4." ], "rationale": "Wrong actual benefit.", "evidenceSpans": [ { "quote": "So B calls regardless. B's expected payoff is -0.4.", "start": 7340, "end": 7391 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Everything holds. FOLD yields 0, CALL yields -0.2." ], "rationale": "Assigned comparison corrected.", "evidenceSpans": [ { "quote": "Everything holds. FOLD yields 0, CALL yields -0.2.", "start": 9335, "end": 9385 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": -0.4, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Everything holds. FOLD yields 0, CALL yields -0.2.", "comparisonSpan": [ 9335, 9385 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d1_assignment", "d5_comparison" ], "errorQuote": "So maximizing A+C is equivalent to maximizing A+B, since E[C]=0.", "correctionQuote": "Wait! Does maximizing A+C mean I should ignore B's negative payoff? Yes.", "rationale": "Excludes B.", "errorQuoteSpan": [ 3736, 3800 ], "correctionQuoteSpan": [ 7721, 7793 ] }, { "dimensions": [ "d3_decision" ], "errorQuote": "E[p] = 5/6 * 0.5 + 1/6 * 0.1 = 0.25 + 0.0166 = 0.2666? Wait.", "correctionQuote": "Sum = 25/60 + 1/60 = 26/60 = 13/30 ≈ 0.4333. Correct.", "rationale": "Corrected arithmetic.", "errorQuoteSpan": [ 9686, 9746 ], "correctionQuoteSpan": [ 9802, 9855 ] } ], "upstreamErrorGroups": [ { "root": "NOT_BLUFF posterior arithmetic", "dimensions": [ "d3_decision", "d4_benefit" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Residual recipient errors.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "social__pressure__excluded__1", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__request__included__1", "canonicalQuestionId": "social__request__included__1", "stage": "social", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": "request", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/18/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "91985fc90dbc592b9f2fdcf256ce937d63cafec305d32d54a5757712616ba52c", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So we strictly optimize E[A] + E[B]." ], "rationale": "Assigned pair.", "evidenceSpans": [ { "quote": "So we strictly optimize E[A] + E[B].", "start": 11491, "end": 11527 } ] }, "d2_information": { "label": "correct", "quotes": [ "Then B calculates P(Bluff_B | Observed A_outcome) = P(High|Obs)*0.5 + P(Low|Obs)*0.1." ], "rationale": "Distinguishes type from outcome; numerical errors belong d3.", "evidenceSpans": [ { "quote": "Then B calculates P(Bluff_B | Observed A_outcome) = P(High|Obs)*0.5 + P(Low|Obs)*0.1.", "start": 2683, "end": 2768 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "Posterior N: 27/70 ≈ 0.386 > 0.333 -> B calls." ], "rationale": "Wrong probability/policy.", "evidenceSpans": [ { "quote": "Posterior N: 27/70 ≈ 0.386 > 0.333 -> B calls.", "start": 15137, "end": 15183 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "The info makes B's posterior > 1/3, causing B to call, which incurs an expected loss of 0.4." ], "rationale": "Wrong benefit.", "evidenceSpans": [ { "quote": "The info makes B's posterior > 1/3, causing B to call, which incurs an expected loss of 0.4.", "start": 13936, "end": 14028 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "FOLD gives 0. CALL gives -0.6." ], "rationale": "Wrong assigned net.", "evidenceSpans": [ { "quote": "FOLD gives 0. CALL gives -0.6.", "start": 11528, "end": 11558 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": -0.4, "assignedContribution": -0.4, "netAssignedCall": -0.6, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "So A's CALL yields A=-0.2, B=-0.4. Sum = -0.6.", "comparisonSpan": [ 6902, 6948 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [ { "root": "NOT_BLUFF posterior arithmetic", "dimensions": [ "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Propagated posterior error.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "social__request__included__1", "status": "valid", "action": "FOLD", "correct": false }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__neutral__excluded__2", "canonicalQuestionId": "social__neutral__excluded__2", "stage": "social", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": "neutral", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/19/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "42377f28bc1651b08cf7288b96d69617e9290ee1b666048c061a251b8a4b8893", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "A's objective is to maximize the expected chips equal to A + C.", "Therefore, E[A + C] = E[A] + 0 = E[A]." ], "rationale": "Legitimately reduces the assigned pair to A because C folds.", "evidenceSpans": [ { "quote": "A's objective is to maximize the expected chips equal to A + C.", "start": 68, "end": 131 }, { "quote": "Therefore, E[A + C] = E[A] + 0 = E[A].", "start": 1926, "end": 1964 } ] }, "d2_information": { "label": "correct", "quotes": [ "Observation is delivered before B and C act. Only B receives it. C does not.", "This is just flavor text explaining why B would update, but since B doesn't count for the objective, it's irrelevant." ], "rationale": "Identifies B's information and C's unchanged prior.", "evidenceSpans": [ { "quote": "Observation is delivered before B and C act. Only B receives it. C does not.", "start": 678, "end": 754 }, { "quote": "This is just flavor text explaining why B would update, but since B doesn't count for the objective, it's irrelevant.", "start": 5194, "end": 5311 } ] }, "d3_decision": { "label": "not_stated", "quotes": [], "rationale": "Does not give designated recipient B's signal-conditional policy.", "evidenceSpans": [] }, "d4_benefit": { "label": "not_stated", "quotes": [], "rationale": "Actual B benefit is omitted; zero assigned contribution does not assert zero actual benefit.", "evidenceSpans": [] }, "d5_comparison": { "label": "correct", "quotes": [ "So C contributes 0 to the sum.", "Thus maximizing E[A+C] is equivalent to maximizing E[A].\nE[A(CALL)] = -0.2.\nE[A(FOLD)] = 0.\nSo FOLD is better." ], "rationale": "Correctly excludes B and compares A's negative CALL EV with zero.", "evidenceSpans": [ { "quote": "So C contributes 0 to the sum.", "start": 2460, "end": 2490 }, { "quote": "Thus maximizing E[A+C] is equivalent to maximizing E[A].\nE[A(CALL)] = -0.2.\nE[A(FOLD)] = 0.\nSo FOLD is better.", "start": 2491, "end": 2601 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": null, "assignedContribution": 0, "netAssignedCall": null, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Thus maximizing E[A+C] is equivalent to maximizing E[A].\nE[A(CALL)] = -0.2.\nE[A(FOLD)] = 0.\nSo FOLD is better.", "comparisonSpan": [ 2491, 2601 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Valid objective reduction; omitted B policy and benefit are coverage gaps, not errors. No separately numbered joint CALL total is inferred.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": true, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "insufficiently_stated", "actionScore": { "attemptId": "social__neutral__excluded__2", "status": "valid", "action": "FOLD", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__pressure__included__2", "canonicalQuestionId": "social__pressure__included__2", "stage": "social", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": "pressure", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/20/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "3b12a68fcbe9dda866b176c30d9d27af35fcd0e8903aa1f9e1561409752522ab", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So A just maximizes A+B." ], "rationale": "Assigned pair.", "evidenceSpans": [ { "quote": "So A just maximizes A+B.", "start": 5669, "end": 5693 } ] }, "d2_information": { "label": "correct", "quotes": [ "P(H|N) = 0.25/0.7 = 5/14. P(L|N) = 0.45/0.7 = 9/14." ], "rationale": "Corrected posterior.", "evidenceSpans": [ { "quote": "P(H|N) = 0.25/0.7 = 5/14. P(L|N) = 0.45/0.7 = 9/14.", "start": 4862, "end": 4913 } ] }, "d3_decision": { "label": "correct", "quotes": [ "If A Folds, B sees nothing. P(bluff) = 0.3 <= 1/3. B FOLDS.", "New p = 0.5*(5/6)+0.1*(1/6) = 13/30 ≈ 0.433 > 1/3. B CALLS.", "New p = 0.5*(5/14)+0.1*(9/14) = 17/70 ≈ 0.243 < 1/3. B FOLDS." ], "rationale": "Correct policy.", "evidenceSpans": [ { "quote": "If A Folds, B sees nothing. P(bluff) = 0.3 <= 1/3. B FOLDS.", "start": 6212, "end": 6271 }, { "quote": "New p = 0.5*(5/6)+0.1*(1/6) = 13/30 ≈ 0.433 > 1/3. B CALLS.", "start": 6391, "end": 6450 }, { "quote": "New p = 0.5*(5/14)+0.1*(9/14) = 17/70 ≈ 0.243 < 1/3. B FOLDS.", "start": 6565, "end": 6626 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "E[EV_B] = 0.3*1.2 + 0.7*0 = 0.36." ], "rationale": "Correct benefit.", "evidenceSpans": [ { "quote": "E[EV_B] = 0.3*1.2 + 0.7*0 = 0.36.", "start": 6637, "end": 6670 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Total E[A+B] if A CALLS = -0.2 + 0.36 = 0.16.", "Result: CALL gives 0.16, FOLD gives 0." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Total E[A+B] if A CALLS = -0.2 + 0.36 = 0.16.", "start": 6671, "end": 6716 }, { "quote": "Result: CALL gives 0.16, FOLD gives 0.", "start": 5694, "end": 5732 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": null, "recipientBenefit": 0.36, "assignedContribution": 0.36, "netAssignedCall": 0.16, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total E[A+B] if A CALLS = -0.2 + 0.36 = 0.16.", "comparisonSpan": [ 6671, 6716 ] }, "correctedIntermediateErrors": [ { "dimensions": [ "d2_information" ], "errorQuote": "P(H|N) = 0.25/0.7 = 5/7.", "correctionQuote": "0.25 / 0.7 = 25/70 = 5/14.", "rationale": "Explicit correction.", "errorQuoteSpan": [ 3657, 3681 ], "correctionQuoteSpan": [ 3798, 3824 ] } ], "upstreamErrorGroups": [], "incidentalIssues": [], "positionScope": "concluding_retained_text", "annotationRationale": "Corrected-only.", "flags": { "documentedResidualError": false, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": true, "correctedOnly": true }, "assessment": "corrected_only", "actionScore": { "attemptId": "social__pressure__included__2", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__request__included__2", "canonicalQuestionId": "social__request__included__2", "stage": "social", "condition": { "assigned": "B", "recipient": "B", "persistence": "shared", "note": "request", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/21/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "c849f8ce452291fb442a6bb463902f2d95321a7535509effc90329f8a0428734", "oracle": { "assignment": [ "A", "B" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "9/25", "assignedNetCall": "4/25", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "My objective is to maximize the expected chips equal to the sum A + B." ], "rationale": "Counts A and B.", "evidenceSpans": [ { "quote": "My objective is to maximize the expected chips equal to the sum A + B.", "start": 63, "end": 133 } ] }, "d2_information": { "label": "incorrect", "quotes": [ "B's expected payoff for CALL given BLUFF = (5/6)*8 + (1/6)*(-4) = 40/6 - 4/6 = 36/6 = 6 > 0." ], "rationale": "Uses posterior type probabilities as bluff-outcome probabilities, conflating type with outcome.", "evidenceSpans": [ { "quote": "B's expected payoff for CALL given BLUFF = (5/6)*8 + (1/6)*(-4) = 40/6 - 4/6 = 36/6 = 6 > 0.", "start": 1740, "end": 1832 } ] }, "d3_decision": { "label": "incorrect", "quotes": [ "B's EV(Call|NB) = (5/14)*8 + (9/14)*(-4) = 40/14 - 36/14 = 4/14 = 2/7 ≈ 0.2857. Correct. B calls.", "So regardless of the observation, B will call." ], "rationale": "Wrong conditional EVs lead to CALL after NOT_BLUFF instead of FOLD.", "evidenceSpans": [ { "quote": "B's EV(Call|NB) = (5/14)*8 + (9/14)*(-4) = 40/14 - 36/14 = 4/14 = 2/7 ≈ 0.2857. Correct. B calls.", "start": 2612, "end": 2709 }, { "quote": "So regardless of the observation, B will call.", "start": 2710, "end": 2756 } ] }, "d4_benefit": { "label": "incorrect", "quotes": [ "B's expected payoff given A's CALL = P(B)*6 + P(NB)*(2/7) = 0.3 * 6 + 0.7 * (2/7) = 1.8 + 0.2 = 2.0.", "So B's expected payoff given FOLD from A is 0." ], "rationale": "Claims benefit 2.0 rather than 0.36.", "evidenceSpans": [ { "quote": "B's expected payoff given A's CALL = P(B)*6 + P(NB)*(2/7) = 0.3 * 6 + 0.7 * (2/7) = 1.8 + 0.2 = 2.0.", "start": 2757, "end": 2857 }, { "quote": "So B's expected payoff given FOLD from A is 0.", "start": 1362, "end": 1408 } ] }, "d5_comparison": { "label": "incorrect", "quotes": [ "Total A+B = -0.2 + 2.0 = 1.8.", "CALL yields 1.8.\nFOLD yields 0." ], "rationale": "Consistent arithmetic uses incorrect recipient benefit; oracle net is 0.16.", "evidenceSpans": [ { "quote": "Total A+B = -0.2 + 2.0 = 1.8.", "start": 4442, "end": 4471 }, { "quote": "CALL yields 1.8.\nFOLD yields 0.", "start": 3186, "end": 3217 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 2.0, "assignedContribution": 2.0, "netAssignedCall": 1.8, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Total A+B = -0.2 + 2.0 = 1.8.", "comparisonSpan": [ 4442, 4471 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [ { "root": "Posterior type probability substituted for recipient bluff probability", "dimensions": [ "d2_information", "d3_decision", "d4_benefit", "d5_comparison" ] } ], "incidentalIssues": [ "The hypothetical negative NOT_BLUFF payoff discussion claims a lower bound of 1.8 without accounting for its proposed negative contribution; this does not determine actual-task labels." ], "positionScope": "concluding_retained_text", "annotationRationale": "Correct assignment and own cost; persistent type/outcome conflation propagates through policy, benefit, and comparison.", "qualityReview": "Rechecked against fulltext/oracle by independent read-only harness reviewer and parent.", "flags": { "documentedResidualError": true, "mixedOrUnclear": false, "anyNotStated": false, "noExplanation": false, "correctedIntermediateError": false, "correctedOnly": false }, "assessment": "documented_residual_error", "actionScore": { "attemptId": "social__request__included__2", "status": "valid", "action": "CALL", "correct": true }, "annotationRoute": "platform_harness/openai/gpt-6-astra + parent adjudication", "rubricVersion": 1 }, { "attemptId": "social__pressure__excluded__2", "canonicalQuestionId": "social__pressure__excluded__2", "stage": "social", "condition": { "assigned": "C", "recipient": "B", "persistence": "shared", "note": "pressure", "sourcePhase": "social" }, "explanationPresent": true, "sourcePath": "results/analysis-continuation-7/additionalRows.json", "sourceLocator": "/22/reasoning", "sourceSha256": "4cc5253e43003a378ef61cebc828be206a80780842ec18c713fd1a9c6cf7e17a", "explanationSha256": "781277302447bffe898dabfb92af579c2ebffadcbe1001d62091d477e9df8425", "oracle": { "assignment": [ "A", "C" ], "observationRecipient": "B", "typeRelationship": "shared", "priorBluff": "3/10", "ownCall": "-1/5", "personalCost": "1/5", "recipientPriorCall": "-2/5", "informedRecipientPolicy": "CALL after BLUFF; FOLD after NOT_BLUFF", "posteriorTypeHigh": [ "5/6", "5/14" ], "recipientBluffAfterObservation": [ "13/30", "17/70" ], "recipientCallAfterObservation": [ "6/5", "-38/35" ], "actualRecipientInformationBenefit": "9/25", "assignedInformationContribution": "0", "assignedNetCall": "-1/5", "fold": "0", "uninformedRecipientPolicy": "FOLD; payoff0" }, "dimensions": { "d1_assignment": { "label": "correct", "quotes": [ "So Objective = A + C. B is ignored." ], "rationale": "Resolved exploratory ambiguity.", "evidenceSpans": [ { "quote": "So Objective = A + C. B is ignored.", "start": 12196, "end": 12231 } ] }, "d2_information": { "label": "correct", "quotes": [ "If A sees a Bluff, that makes it more likely that $T=\\text{High}$, which makes it more likely that B's opponent will Bluff." ], "rationale": "Predictive outcome information.", "evidenceSpans": [ { "quote": "If A sees a Bluff, that makes it more likely that $T=\\text{High}$, which makes it more likely that B's opponent will Bluff.", "start": 9367, "end": 9490 } ] }, "d3_decision": { "label": "correct", "quotes": [ "As calculated, this leads to B calling on Bluff, folding on NB.", "B sees nothing. Uses prior $p=0.3$.\n $p < 1/3$. B Folds." ], "rationale": "Correct policy.", "evidenceSpans": [ { "quote": "As calculated, this leads to B calling on Bluff, folding on NB.", "start": 24047, "end": 24110 }, { "quote": "B sees nothing. Uses prior $p=0.3$.\n $p < 1/3$. B Folds.", "start": 20648, "end": 20706 } ] }, "d4_benefit": { "label": "correct", "quotes": [ "So A Calling generates +0.36 expected chips for B.", "Does this help A or C?\n No." ], "rationale": "Benefit excluded.", "evidenceSpans": [ { "quote": "So A Calling generates +0.36 expected chips for B.", "start": 20733, "end": 20783 }, { "quote": "Does this help A or C?\n No.", "start": 20787, "end": 20816 } ] }, "d5_comparison": { "label": "correct", "quotes": [ "Net change to Objective (A+C): -0.2.", "Objective = -0.2 (if Call) vs 0 (if Fold)." ], "rationale": "Correct comparison.", "evidenceSpans": [ { "quote": "Net change to Objective (A+C): -0.2.", "start": 20915, "end": 20951 }, { "quote": "Objective = -0.2 (if Call) vs 0 (if Fold).", "start": 8608, "end": 8650 } ] } }, "reportedValues": { "ownCallEV": -0.2, "personalCost": 0.2, "recipientBenefit": 0.36, "assignedContribution": 0, "netAssignedCall": -0.2, "comparisonGivenStatedValues": "consistent", "comparisonQuote": "Objective = -0.2 (if Call) vs 0 (if Fold).", "comparisonSpan": [ 8608, 8650 ] }, "correctedIntermediateErrors": [], "upstreamErrorGroups": [], "incidentalIssues": [ "Hypothetical full-type disclosure misstates high-type CALL EV, prior-policy baseline, and benefit; 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