feat: close measured model review evidence

docs/CODEX_EXECUTION_LOG.md

@@ -8192,3 +8192,40 @@ Next:
 - Deploy the migration and UI, verify one live review queue and map QA result,
   then complete representative manual decisions before constructing any new
   model-training corpus.
+
+## Sprint 198 - Evidence-closed model review (2026-07-15)
+
+Implemented:
+- Generated the previously missing 48-card false-negative contact-sheet bundle
+  from the exact persisted inference manifests for Geel, Herentals and
+  Turnhout; 731 references outside tile coverage remained explicitly excluded.
+- Completed all 96 FP/FN decisions through orthophoto inspection plus
+  persisted geometry-overlap diagnostics. The result is 5 confirmed model FP,
+  10 confirmed model FN, 59 QA-alignment cases, 10 reference-gap/change cases
+  and 12 uncertain/obscured cases.
+- Added `validate_detection_false_negative_review_decisions.py`, mirroring the
+  existing FP safety contract and exporting only explicit confirmed misses.
+- Audited confirmed evidence against the active training split. Geel and
+  Herentals are existing training sources; Turnhout is an excluded operational
+  holdout. The review therefore provides zero novel leakage-free labels and a
+  new fine-tuning run was deliberately rejected.
+- Added strict match count plus the existing diagnostic reference-envelope
+  result to the map analysis panel. Canonical footprint IoU metrics remain
+  unchanged.
+
+Validation:
+- Both 48-row decision CSVs completed with zero `unreviewed` records and passed
+  their validators with `--require-complete`.
+- Focused validator/readiness/map-contract tests passed.
+- Full readiness passed 596 backend tests, backend compilation, 88 documented
+  API routes, one Alembic head, frontend typecheck/build and shell syntax gates.
+
+Known limitation:
+- The active local model remains useful but imperfect. A new candidate requires
+  independently collected training-only AOIs and complete tile labels; holdout
+  review evidence must not be recycled into training.
+
+Next:
+- Collect a new training-only small-building/background evidence pack outside
+  all operational holdouts, then train an inactive candidate only if the pack
+  passes label, leakage and sample-volume audits.