Use split background reports in promotion gate
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@@ -679,6 +679,26 @@ and maximum background detections per sample. It is evidence/report tooling
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only: it does not run inference, mutate application data, download models or
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change the active YOLO configuration.
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When the background corpus has been split with
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`run_background_corpus_split_matrix.sh`, pass the combined split summary instead
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of manually wiring both category summaries:
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```bash
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python scripts/build_detection_model_promotion_report.py \
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--positive-portfolio /mnt/user/appdata/geointel/artifacts/detection-quality-matrix/multi-sample/aoi1024bg512r3e50-positive/multi_sample_quality_summary.json \
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--background-split-summary /mnt/user/appdata/geointel/artifacts/detection-hard-negatives/aoi1024bg512r3e50-split/background_corpus_split_summary.json \
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--output-dir /mnt/user/appdata/geointel/artifacts/detection-model-promotion/aoi1024bg512r3e50-split-aware \
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--min-positive-samples 7 \
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--min-background-samples 2 \
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--min-mean-f1 0.25 \
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--max-background-detections-per-sample 0
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```
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The promotion report resolves the split summary's `pure_empty_negative` source
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summary as the strict default-promotion false-positive gate. The
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`sparse_building_context` source remains visible in the JSON/Markdown report as
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review evidence only and is not counted as a default-promotion gate.
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If a legacy positive evidence portfolio records `model_asset_id` at portfolio
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level but does not include per-run tile size/overlap, pass explicit tile
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defaults instead of letting the report guess:
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