Record live model promotion report
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- The report combines positive-AOI calibration evidence portfolios with hard-negative/background matrix summaries.
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- Candidate decisions are grouped by model asset, tile size, overlap and threshold, then gated by positive sample count, background sample count, mean F1 and maximum background detections per sample.
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- Added regression coverage for promoting a clean candidate and rejecting a candidate with background false-positive pressure.
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- Ran the report on Tower against the regenerated 7-AOI positive portfolio and live hard-negative summaries; it evaluated 15 candidates and recommended none for default promotion.
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- No backend API, migration, frontend runtime, model weight, model download, inference or provider-fetching behavior changed.
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## Sprint 141 Expanded positive-AOI matrix and portfolio metadata hardening (2026-07-08)
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