Gate filtered YOLO candidate and harden provenance
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# Changelog
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## Sprint 169 Filtered YOLO candidate gate and operator hardening (2026-07-12)
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- Trained and fully gated inactive `geointel-building-yolov8s-aoi1024cleanpx12vis035lowvar512e50-pt` against seven positive AOIs and split pure-empty/sparse-context backgrounds.
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- Rejected the candidate for default promotion: best mean positive F1 was approximately `0.154`, below the `0.25` gate; threshold `0.05` also produced one pure-empty background detection.
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- Preserved the current active `aoi1024bg512r3e50` model and all runtime defaults.
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- Added SHA256 provenance to future YOLO training summaries.
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- Improved long project/dataset/AOI readability with matching tooltips and compact two-line readiness values.
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- No API contract, migration, provider fetching, fake output, model download or automatic model activation changed.
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## Sprint 164 Tower AI deploy env hardening (2026-07-11)
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- Fixed Tower deploy automation so `scripts/deploy_tower.sh` and `scripts/deploy_tower.ps1` source the remote `.env` before building the all-in-one image.
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