Add persistent false negative evidence audit

scripts/README.md

@@ -684,6 +684,41 @@ QA evidence GeoJSON endpoint, writes `calibration_evidence.geojson`,
 matched references, false positives and false negatives. Set
 `CALIBRATION_EVIDENCE_MODE=best` to export only the `best_by_score` run.
 
+Build fixed-threshold portfolio inputs when two model runs must be compared at
+the same confidence threshold across every AOI:
+
+```bash
+python scripts/build_fixed_threshold_evidence_portfolio_inputs.py \
+  --multi-sample-summary artifacts/detection-quality-matrix/multi-sample/<run>/multi_sample_quality_summary.json \
+  --threshold 0.35 \
+  --model-asset-id geointel-building-yolov8s-aoi1024bg512r3e50-pt \
+  --model-sha256 e0980572aac90e7efc514608eb16d7de5bfbf27a4bbec04e7bc1bc8c02f9601f \
+  --tile-size 512 \
+  --tile-overlap 64 \
+  --output-dir artifacts/detection-false-negative-review/active-inputs
+```
+
+The builder selects exactly one persisted QA run per AOI and refuses ambiguous
+model/tile/threshold matches. Pass its emitted manifest to
+`assemble_detection_calibration_evidence_portfolio.sh` with
+`CALIBRATION_EVIDENCE_MODE=all`; each filtered summary contains one run.
+
+Compare two or more downloaded evidence portfolios with geodetic WGS84 areas:
+
+```bash
+python scripts/audit_detection_false_negative_evidence.py \
+  --portfolio active=artifacts/detection-false-negative-review/active/calibration_evidence_portfolio.json \
+  --portfolio candidate=artifacts/detection-false-negative-review/candidate/calibration_evidence_portfolio.json \
+  --output-dir artifacts/detection-false-negative-review/audit
+```
+
+The audit reports false-negative rates and area buckets per AOI/model, plus
+reference buildings missed by every compared portfolio. Stable
+`source_feature_id` values are preferred; a normalized geometry fingerprint is
+used only when source IDs are absent. Invalid or missing geometry fails the
+audit instead of being silently skipped. The tools do not run inference,
+create QA records, mutate model defaults or download data/models.
+
 Docker images install only the GIS runtime by default. To build a local/Tower
 image with PyTorch/Ultralytics available for the configured-YOLO preflight and
 runtime path, set: