Add detection model promotion report
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# Changelog
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## Sprint 143 Detection model promotion decision report (2026-07-08)
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- Added `scripts/build_detection_model_promotion_report.py` for operator-only model promotion review.
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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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- 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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- Ran a fresh Tower quality matrix for Balen, Herentals and Westerlo using `geointel-building-yolov8n-expanded160e50-pt` and `geointel-building-yolov8n-hardneg160r8e40-pt`.
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