Assess whether disagreement should block, queue, or log (bb7d8b)

SITUATION Deprecation plan for a model still in a batch job arrived with a scorecard that rated 100% of outputs 'acceptable' for AI committee secretariat. That is a AI Governance Layer Lifecycle and Accountability decision on disagreement should block, queue, in a publisher needing provenance on generated copy.

DECISION AI committee secretariat in a publisher needing provenance on generated copy must choose Disagreement should block, queue, / Log using deprecation plan for a model still in a batch job after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Lifecycle and Accountability process in a publisher needing provenance on generated copy, given deprecation plan for a model still in a batch job. 2. A scorecard that rated 100% of outputs 'acceptable' is the event in deprecation plan for a model still in a batch job that forces Disagreement should block, queue, for AI committee secretariat under AI Governance Layer. 3. Deprecation plan for a model still in a batch job shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Lifecycle and Accountability program failure. 4. Deprecation plan for a model still in a batch job cannot decide disagreement should block, queue, yet after a scorecard that rated 100% of outputs 'acceptable'; hold is the only AI Governance Layer close a publisher needing provenance on generated copy can defend.

ANALYSIS REQUIRED 1. Score whether the agent action in deprecation plan for a model still in a batch job was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a publisher needing provenance on generated copy. 3. Map the control-plane score in deprecation plan for a model still in a batch job to the policy gate AI committee secretariat can enforce. 4. For this AI Governance Layer Lifecycle and Accountability file, read deprecation plan for a model still in a batch job against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move disagreement should block, queue, for AI committee secretariat.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (deprecation plan for a model still in a batch job after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Lifecycle and Accountability action is what AI committee secretariat does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on disagreement should block, queue,, then the evidence in deprecation plan for a model still in a batch job, then the action for AI committee secretariat - Hypothesis scorecard against deprecation plan for a model still in a batch job: supported / rejected / untestable - Missing page in deprecation plan for a model still in a batch job after a scorecard that rated 100% of outputs 'acceptable', if any - Regulatory or exam hook Lifecycle and Accountability would cite