Support multi-sample promotion evidence

CHANGELOG.md

@@ -12,10 +12,13 @@
 - Fixed the operator YOLO training wrapper so the all-in-one runtime defaults to `/opt/geointel/venv/bin/python` when present, while still falling back to `python3` for local shells.
 - Raised the Nginx upload limit to `250m` in both the compose frontend proxy and Unraid all-in-one proxy after a live 1024px GeoTIFF QA upload hit `413 Request Entity Too Large`.
 - Raised Nginx proxy read/send timeouts to `600s` after a long low-threshold persisted YOLO/QA run hit `504 Gateway Timeout`.
+- Hardened `build_detection_model_promotion_report.py` so it correctly accepts both calibration evidence portfolios and multi-sample quality summaries as positive evidence inputs.
 - Prepared a larger Tower operator sample manifest at `/app/storage/operator-data/operator-samples-1024` using explicit `1024x1024` rasters and doubled AOI half-size.
 - Exported and audited `/app/storage/operator-data/yolo-building-aoi1024-visible025`: 144 tiles, 117 positive tiles, 27 negative tiles, 15,079 labels and `min_label_visible_ratio=0.25`; audit remains `needs_attention` because median label area is still below gate.
 - Trained inactive local model asset `geointel-building-yolov8s-aoi1024visible025e50-pt` from the AOI1024 dataset. Ultralytics validation ended at approximately precision `0.275`, recall `0.331`, mAP50 `0.188` and mAP50-95 `0.0716`.
 - Redeployed Tower and verified the previously failing Geel low-threshold persisted YOLO/QA path now completes instead of returning `504`; the run produced F1 `0.09136212624584718`, so the model remains rejected for default use.
+- Ran the full four-sample AOI1024 positive matrix and nine-sample hard-negative matrix. Best positive result was Westerlo threshold `0.15` with F1 `0.28703703703703703`; background pressure still reached 59 detections at threshold `0.25`, 107 at `0.15` and 226 at `0.05`.
+- Generated the AOI1024 promotion report after the parser fix; recommended candidate remains `none`.
 - The candidate remains inactive and must pass persisted detection QA/QC plus background/hard-negative promotion gates before default activation.
 - No API contract, migration, product feature, provider fetching, fake detection data or active model default changed.