Record promoted detector runtime verification
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- Compared fixed-threshold persisted evidence against the previous active model and reduced the false-negative rate in every validated positive AOI.
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- Activated the exact promoted local model through the guarded dry-run-first helper; no model was downloaded and no fake inference or QA result was introduced.
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- Updated Detection Lab operator profiles so the promoted expanded model is the recommended balanced review choice while the previous high-precision model remains available as a legacy conservative profile.
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- Redeployed the all-in-one Tower runtime with CPU-only Torch `2.13.0+cpu`, verified a real local model load against a nine-tile manifest, and passed PostGIS, API, health and browser checks.
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- Persistent small-building misses remain the primary model-quality limitation and still require operator QA/QC.
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## Sprint 172 CPU AI image build hardening (2026-07-12)
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