Assess whether audits can reconstruct who authorized what (d278c3)

SITUATION A hospital committee that never records dissent cannot treat two production models recommending opposite actions on the same file as incidental context on output-scoring rubric that never fails a high-risk output. Model-deprecation manager must close audits can reconstruct who from that extract under AI Governance Layer / Control Plane and Scoring.

DECISION Model-deprecation manager in a hospital committee that never records dissent must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using output-scoring rubric that never fails a high-risk output after two production models recommending opposite actions on the same file.

HYPOTHESES TO TEST 1. Model-deprecation manager can defend Policy or governance breach from output-scoring rubric that never fails a high-risk output after two production models recommending opposite actions on the same file in a AI Governance Layer challenge. 2. Model-deprecation manager cannot defend Policy or governance breach from output-scoring rubric that never fails a high-risk output; Model defect is what the extract actually supports after two production models recommending opposite actions on the same file. 3. Two production models recommending opposite actions on the same file never reached the population in output-scoring rubric that never fails a high-risk output — reopen intake, do not close audits can reconstruct who. 4. Two facts in output-scoring rubric that never fails a high-risk output after two production models recommending opposite actions on the same file conflict for model-deprecation manager; hold this Control Plane and Scoring file.

ANALYSIS REQUIRED 1. Test whether two production models recommending opposite actions on the same file changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in a hospital committee that never records dissent. 4. For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against two production models recommending opposite actions on the same file and write the one fact that would move audits can reconstruct who for model-deprecation manager.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Control Plane and Scoring packet (output-scoring rubric that never fails a high-risk output after two production models recommending opposite actions on the same file). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Control Plane and Scoring, stop. Do not invent missing evidence a hospital committee that never records dissent does not have.