Classify operator background corpus
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# Changelog
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## Sprint 156 Background corpus classification (2026-07-10)
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- Added explicit operator background categories to prepared sample manifests: `pure_empty_negative` when GRB returns zero reference buildings and `sparse_building_context` when contextual GRB buildings are present.
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- Added `OPERATOR_BACKGROUND_CATEGORIES` to `scripts/run_operator_hard_negative_detection_matrix.sh` so strict default-promotion false-positive gates can run on pure-empty negatives separately from sparse-context review samples.
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- Preserved `background_category` in exported YOLO tile metadata for training auditability.
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- No model default, backend API, database migration, provider fetching, fake detection output or model download behavior changed.
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## Sprint 155 Detection operator profiles (2026-07-09)
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- Added explicit Detection Lab operator profiles for the inactive `geointel-building-yolov8s-aoi1024bg512r3e50-pt` local model asset.
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