Assess whether disagreement should block, queue, or log from output-scoring

SITUATION A hospital committee that never records dissent cannot treat a human reviewer who clicked approve in under two seconds as incidental context on output-scoring rubric that never fails a high-risk output. Model-deprecation manager must close disagreement should block, queue, 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 Disagreement should block, queue, / Log using output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds.

HYPOTHESES TO TEST 1. Model-deprecation manager can defend Disagreement should block, queue, from output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds in a AI Governance Layer challenge. 2. Model-deprecation manager cannot defend Disagreement should block, queue, from output-scoring rubric that never fails a high-risk output; Log is what the extract actually supports after a human reviewer who clicked approve in under two seconds. 3. A human reviewer who clicked approve in under two seconds never reached the population in output-scoring rubric that never fails a high-risk output — reopen intake, do not close disagreement should block, queue,. 4. Two facts in output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds conflict for model-deprecation manager; hold this Control Plane and Scoring file.

ANALYSIS REQUIRED 1. Test whether a human reviewer who clicked approve in under two seconds 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 a human reviewer who clicked approve in under two seconds and write the one fact that would move disagreement should block, queue, for model-deprecation manager.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Control Plane and Scoring packet (output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds). 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.