Add guarded promoted YOLO activation

frontend/README.md

@@ -124,7 +124,8 @@ AI Lab run controls explicitly explain when no raster dataset is available, inst
 - Detection Lab now exposes the `yolo-configured` capability reported by the backend.
 - When `yolo-configured` is selected, users can provide an existing raster tile manifest path.
 - Detection Lab lists local model assets from `GET /api/v1/detection/model-assets` so operators can choose an existing mounted model file instead of editing only one hidden `YOLO_MODEL_PATH` slot.
-- Detection Lab exposes explicit operator profiles for the current inactive local AOI1024 building detector: balanced review at threshold `0.15` and conservative review at threshold `0.35`. Applying a profile deliberately selects the local model asset and threshold; it does not approve or promote a default model.
+- Detection Lab exposes explicit operator profiles for the local AOI1024 building detector: balanced review at threshold `0.15` remains candidate-only, while conservative review at threshold `0.35` is marked as the promoted profile after the split-background pure-empty gate passed.
+- Applying a profile deliberately selects the local model asset and threshold for the browser-run request; runtime default activation remains a separate guarded `.env` operation through `scripts/activate_promoted_yolo_candidate.py`.
 - Detection Lab includes a read-only YOLO runtime preflight panel with backend status, dependency visibility, local model configuration, `torch`/`ultralytics` versions, CUDA state and `YOLO_CONFIG_DIR`.
 - The UI still does not download models or create fake detections; backend status and error codes remain the source of truth.
 

frontend/src/components/detection/DetectionLab.tsx

@@ -255,7 +255,7 @@ export function DetectionLab({
             <strong>Operator profiles</strong>
             <p>
               Candidate profiles apply a local model asset and confidence threshold only after an explicit click.
-              Candidate only - not default-approved while the promotion recommendation remains none.
+              Promoted profiles still require explicit operator action and do not mutate the runtime environment.
             </p>
           </div>
           <div className="operator-profile-grid" aria-label="Configured YOLO operator profiles">
@@ -305,8 +305,8 @@ export function DetectionLab({
             <div className="model-asset-guidance">
               <strong>Selected model asset status</strong>
               <p>
-                {selectedModelAsset.display_name} is operator-selected. Keep local candidates inactive until persisted
-                promotion evidence explicitly recommends default activation.
+                {selectedModelAsset.display_name} is selected for this browser-run request. Runtime default activation
+                remains a separate guarded operator action backed by a promotion report.
               </p>
             </div>
           ) : null}

frontend/src/components/detection/detectionProfiles.ts

@@ -24,24 +24,24 @@ export const DETECTION_OPERATOR_PROFILES: DetectionOperatorProfile[] = [
     precision: 0.636639,
     recall: 0.424258,
     f1: 0.5074022485589402,
-    maxBackgroundDetections: 103,
+    maxBackgroundDetections: 46,
     description: 'Best positive-AOI F1 profile for deliberate operator review of the inactive AOI1024 model asset.',
     limitationMessage:
-      'Candidate only because false-positive pressure still blocks default promotion on the background/hard-negative gate.',
+      'Candidate only because pure-empty false-positive pressure still blocks default promotion on the background gate.',
   },
   {
     id: 'conservative-review',
-    displayName: 'Conservative review',
+    displayName: 'Promoted conservative review',
     modelAssetId: 'geointel-building-yolov8s-aoi1024bg512r3e50-pt',
     confidenceThreshold: 0.35,
-    defaultApproved: false,
-    promotionRecommendation: 'none',
+    defaultApproved: true,
+    promotionRecommendation: 'promote_candidate',
     precision: 0.840006,
     recall: 0.202135,
     f1: 0.32086574003576274,
-    maxBackgroundDetections: 55,
-    description: 'Higher-precision profile for demos or review sessions where fewer false positives matter more than recall.',
+    maxBackgroundDetections: 0,
+    description: 'Promoted high-precision profile for demos or review sessions where fewer false positives matter more than recall.',
     limitationMessage:
-      'Candidate only because false-positive pressure remains visible; use it deliberately and inspect persisted QA evidence.',
+      'Default-approved after the split-background pure-empty gate passed; sparse-context detections remain review-only evidence.',
   },
 ]