Record AOI1024 runtime QA evidence

docs/CODEX_EXECUTION_LOG.md

@@ -5960,13 +5960,19 @@ Open:
   - output model: `/app/models/geointel-building-yolov8s-aoi1024visible025e50.pt`
   - model asset id: `geointel-building-yolov8s-aoi1024visible025e50-pt`
   - final Ultralytics validation: precision approximately `0.275`, recall `0.331`, mAP50 `0.188`, mAP50-95 `0.0716`
+- Tower live runtime validation after deploy:
+  - browser/runtime verification passed on `http://192.168.10.150:1202`
+  - the previous Geel 1024px upload `413` no longer occurs
+  - the previous Geel low-threshold persisted YOLO/QA `504` no longer occurs
+  - Geel `threshold=0.05` completed with 2,612 detections, 5,091 raw candidates, 2,479 suppressed duplicates, precision `0.06316998468606431`, recall `0.165` and F1 `0.09136212624584718`
 
 ## Known limitations
 
 - The AOI1024 tile audit is still `needs_attention`: median normalized box area is below gate and small-box share remains high.
 - Several dense 1024 GRB reference exports reached the current 1000-feature source cap. Treat those samples as useful but potentially reference-capped until the provider query path supports paging or smaller dense AOIs are chosen.
 - The trained model is intentionally inactive. It needs persisted detection QA/QC matrix evidence and background/hard-negative evidence before default promotion.
+- The first completed persisted Geel QA run confirms the candidate is not promotion-ready: recall improves at low threshold, but false-positive pressure is too high.
 
 ## Next recommended pass
 
-- Rebuild/deploy the runtime upload-limit fix, rerun the four-sample AOI1024 persisted QA matrix, then decide whether label/source paging or additional AOI quality work comes before another training run.
+- Run the remaining AOI1024 persisted QA samples and background/hard-negative checks, then decide whether label/source paging or additional AOI quality work comes before another training run.