Assess whether a split between models is a review queue or noise (233b8c)

Situation

In a hospital committee that never records dissent, content-attribution tags missing on customer-facing copy is the evidence after an examiner asking who authorized last Tuesday's model output. Enterprise AI control-plane owner has to pick A split between models is a review queue or Noise for this AI Governance Layer Lifecycle and Accountability close using content-attribution tags missing on customer-facing copy.

Decision

Enterprise AI control-plane owner in a hospital committee that never records dissent must choose A split between models is a review queue / Noise using content-attribution tags missing on customer-facing copy after an examiner asking who authorized last Tuesday's model output.

Hypotheses to test

• Content-attribution tags missing on customer-facing copy reads as A split between models is a review queue once an examiner asking who authorized last Tuesday's model output is lined up to the same AI Governance Layer population.
• Content-attribution tags missing on customer-facing copy is closer to Noise after an examiner asking who authorized last Tuesday's model output; A split between models is a review queue would over-claim this Lifecycle and Accountability extract.
• A dual reading is still live in content-attribution tags missing on customer-facing copy for enterprise AI control-plane owner in a hospital committee that never records dissent.
• Content-attribution tags missing on customer-facing copy is missing the fact enterprise AI control-plane owner needs after an examiner asking who authorized last Tuesday's model output; stop this AI Governance Layer close.

Analysis required

• Test whether an examiner asking who authorized last Tuesday's model output changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in content-attribution tags missing on customer-facing copy was in-policy, out-of-policy, or unlogged.
• Confirm the inventory line still matches the running configuration in a hospital committee that never records dissent.
• For this AI Governance Layer Lifecycle and Accountability file, read content-attribution tags missing on customer-facing copy against an examiner asking who authorized last Tuesday's model output and write the one fact that would move a split between models for enterprise AI control-plane owner.