Add detection calibration evidence export

docs/AI_PIPELINES.md

@@ -182,6 +182,20 @@ Results are honest QA/QC evidence from persisted detections and persisted
 reference `vector_features`; no demo detections, live provider fetches or model
 downloads are introduced by the calibration tool.
 
+For visual error inspection, export the persisted QA evidence from a calibration
+summary:
+
+```bash
+CALIBRATION_SUMMARY_PATH=/mnt/user/appdata/geointel/artifacts/detection-calibration/20260707T002103Z/calibration_summary.json \
+bash scripts/export_detection_calibration_evidence.sh http://192.168.10.150:1202
+```
+
+The evidence bundle calls
+`/api/v1/projects/{project_id}/quality-checks/{quality_check_id}/evidence/geojson`
+for the persisted quality checks and writes combined GeoJSON plus an HTML/SVG
+review artifact. This is an inspection aid only; it does not rerun inference or
+alter stored detections.
+
 ### Sprint 8C detection visualization and QA status
 
 Sprint 8C makes persisted detections reviewable:

docs/CODEX_EXECUTION_LOG.md

@@ -1,3 +1,33 @@
+## Sprint 125 Detection calibration evidence bundle (2026-07-07)
+
+Changed:
+- Added `scripts/export_detection_calibration_evidence.sh` to turn a persisted detection calibration summary into visual QA evidence artifacts.
+- The script reads `calibration_summary.json`, fetches the existing project quality-check evidence GeoJSON endpoint for each `quality_check_id`, enriches features with threshold/score/provenance and writes:
+  - `calibration_evidence.geojson`
+  - `calibration_evidence_summary.json`
+  - `calibration_evidence_review.html`
+- The HTML review artifact renders a simple SVG overview with distinct roles for `match_candidate`, `match_reference`, `false_positive` and `false_negative`.
+- Registered the script in `scripts/run_readiness_check.sh` as a syntax check.
+- Added regression coverage in `backend/tests/test_sprint125_detection_calibration_evidence_bundle.py`.
+- Updated `scripts/README.md`, `backend/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
+
+Validation:
+- RED: `python -m pytest backend/tests/test_sprint125_detection_calibration_evidence_bundle.py -q` failed because `scripts/export_detection_calibration_evidence.sh` did not exist.
+- `python -m pytest backend/tests/test_sprint125_detection_calibration_evidence_bundle.py -q` passed.
+- `bash -n scripts/export_detection_calibration_evidence.sh` passed.
+- `bash scripts/export_detection_calibration_evidence.sh --help` passed.
+- Missing-input guard printed usage and did not fetch evidence.
+
+Open:
+- Pull the script to Tower and export evidence for the latest Geel calibration summary.
+
+Limitations:
+- This is operator tooling only. It does not rerun inference, change API behavior, add UI behavior, fetch providers, seed demo data or download models.
+- The SVG review is a lightweight geometry overview, not a replacement for full MapLibre evidence review in the workbench.
+
+Next recommended pass:
+- Run the evidence export on Tower, inspect the role distribution and use the artifacts to decide whether the current model is worth further threshold tuning or should be replaced.
+
 ## Sprint 124 Detection calibration sweep tooling (2026-07-07)
 
 Changed:

docs/TODO.md

@@ -96,6 +96,7 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Fix configured-YOLO mixed-case class labels so `Building` model output matches `building` domain filters.
 - [x] Persist CRS metadata in raster tile manifests so AI detections can be transformed to WGS84 GeoJSON correctly.
 - [x] Add real-data detection calibration sweep tooling for confidence-threshold and QA/QC metric comparison.
+- [x] Add calibration QA evidence export tooling for false-positive/false-negative inspection artifacts.
 - [ ] Calibrate confidence, IoU and model selection against persisted Geel detections and additional local orthophoto/reference samples.
 
 ## Sprint 8 status