diff --git a/CHANGELOG.md b/CHANGELOG.md
index 021a6d80..6a1e037f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -18,6 +18,7 @@
 - Detection QA now applies the persisted tile coverage through the existing GiST-indexed PostGIS geometry column before loading reference rows, while retaining the complete reference population in audit counts.
 - The unchanged exact IoU matcher now uses a Shapely spatial index to avoid testing geometries whose envelopes cannot intersect.
 - Clarified the primary map source and legend whenever an AI result is active so detections are never presented as the underlying official GRB source.
+- Made the fixed workbench context bar follow the active AI layer and exposed the IoU match threshold beside every detection-QA score.
 
 ## Sprint 194 Regional official time-series synchronization (2026-07-14)
 
diff --git a/backend/tests/test_sprint169_long_context_name_readability.py b/backend/tests/test_sprint169_long_context_name_readability.py
index ddab3eed..87d7cf64 100644
--- a/backend/tests/test_sprint169_long_context_name_readability.py
+++ b/backend/tests/test_sprint169_long_context_name_readability.py
@@ -15,7 +15,9 @@ def test_long_context_names_remain_compact_and_inspectable() -> None:
 
     assert "selectedProject?.name === REGIONAL_WORKSPACE_PROJECT_NAME" in app
     assert "? REGIONAL_WORKSPACE_LABEL" in app
-    assert "const datasetContextLabel = selectedDataset ? getDatasetDisplayName(selectedDataset)" in app
+    assert "const datasetContextLabel = analysisMapLayerActive && mapFeatureCollection" in app
+    assert "? getDatasetDisplayName(selectedDataset)" in app
+    assert "`${mapLayerLabel} · controle vereist`" in app
     assert "<strong title={projectContextLabel}>{projectContextLabel}</strong>" in app
     assert "<strong title={datasetContextLabel}>{datasetContextLabel}</strong>" in app
     assert "<strong title={item.value}>{item.value}</strong>" in status
diff --git a/backend/tests/test_sprint195_guided_detection_workflow.py b/backend/tests/test_sprint195_guided_detection_workflow.py
index 25325c7b..b5dce40f 100644
--- a/backend/tests/test_sprint195_guided_detection_workflow.py
+++ b/backend/tests/test_sprint195_guided_detection_workflow.py
@@ -61,3 +61,12 @@ def test_detection_qa_remains_persisted_and_primary_not_parallel() -> None:
     assert "als kwaliteitscontrole in de database bewaard" in lab
     assert "detectionApi.compareWithReference" in hook
     assert "await loadQualityChecks(selectedProjectId)" in hook
+    assert "Minimale IoU voor een match" in lab
+    assert "detectionQaResult.iou_threshold.toFixed(2)" in lab
+
+
+def test_active_analysis_is_not_presented_as_the_underlying_source_dataset() -> None:
+    app = read("frontend/src/App.tsx")
+
+    assert "analysisMapLayerActive && mapFeatureCollection" in app
+    assert "`${mapLayerLabel} · controle vereist`" in app
diff --git a/docs/CODEX_EXECUTION_LOG.md b/docs/CODEX_EXECUTION_LOG.md
index 3a46a2f7..457bccfc 100644
--- a/docs/CODEX_EXECUTION_LOG.md
+++ b/docs/CODEX_EXECUTION_LOG.md
@@ -8066,5 +8066,13 @@ Validation before final deployment:
 - Focused detection, coverage, QA and guided-workflow tests passed.
 - Frontend TypeScript typecheck passed after the source/legend correction.
 
+Live operational proof:
+- The final repository readiness gate passed 578 backend tests, API/document audits, frontend typecheck/build, one Alembic head and all shell smoke checks.
+- Deployed commit `0cad8fd` to the Tower all-in-one runtime with AI extras enabled. Health, PostGIS 3.6, the single migration head, required schema/indexes and the port-1202 browser proxy all passed.
+- The bounded QA request completed in 1.82 seconds. It retained a raw GRB population of 466,078, materialized/evaluated 1,826 coverage features and excluded 464,252 outside the nine persisted tiles.
+- At match IoU 0.25, persisted quality check `341b0076-663a-4427-8a36-d5d9247a730e` measured 1,186 matches, precision 0.6073, recall 0.6495, F1 0.6277 and mean IoU 0.4565. No metric was fabricated.
+- A separate UI run at its default stricter match IoU 0.50 also completed and persisted quality check `7a4464cd-152d-424f-a2b9-ed321b91524c`; the lower F1 is now explained by displaying the threshold beside the score.
+- In-app browser inspection confirmed 1,953 persisted rows, map rendering over OpenStreetMap and explicit `AI-detecties`, `Detectierun`, `Gevonden gebouwen` and `controle vereist` labels.
+
 Next:
-- Deploy the bounded QA correction, rerun the live persisted detection-versus-GRB comparison, verify persisted metrics and inspect the result in MapLibre before declaring the guided operational flow complete.
+- Add bounded operator-triggered orthophoto acquisition from a drawn map rectangle, then hand that raster to this proven guided pipeline. Keep external acquisition out of browser/startup paths and retain explicit source licensing/provenance.
diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx
index 45a85d2a..518e39c9 100644
--- a/frontend/src/App.tsx
+++ b/frontend/src/App.tsx
@@ -685,7 +685,13 @@ function App(): JSX.Element {
     ? REGIONAL_WORKSPACE_LABEL
     : selectedProject?.name ?? 'Geen werkruimte'
   const areaContextLabel = selectedArea?.name ?? (areas.length > 0 ? 'Kies een gebied' : 'Geen gebied')
-  const datasetContextLabel = selectedDataset ? getDatasetDisplayName(selectedDataset) : datasets.length > 0 ? 'Kies een bron' : 'Geen bron'
+  const datasetContextLabel = analysisMapLayerActive && mapFeatureCollection
+    ? `${mapLayerLabel} · controle vereist`
+    : selectedDataset
+      ? getDatasetDisplayName(selectedDataset)
+      : datasets.length > 0
+        ? 'Kies een bron'
+        : 'Geen bron'
   const layerContextLabel = mapFeatureCollection
     ? `${mapFeatureCount.toLocaleString('nl-BE')} objecten`
     : viewportVectorLayerActive
diff --git a/frontend/src/components/detection/DetectionLab.tsx b/frontend/src/components/detection/DetectionLab.tsx
index 32b3007e..e37d0cdf 100644
--- a/frontend/src/components/detection/DetectionLab.tsx
+++ b/frontend/src/components/detection/DetectionLab.tsx
@@ -1080,6 +1080,7 @@ export function DetectionLab({
             <p>Recall: {detectionQaResult.recall?.toFixed(3) ?? 'n/a'}</p>
             <p>F1: {detectionQaResult.f1_score?.toFixed(3) ?? 'n/a'}</p>
             <p>Gemiddelde overlap: {detectionQaResult.mean_iou?.toFixed(3) ?? 'n.v.t.'}</p>
+            <p>Minimale IoU voor een match: {detectionQaResult.iou_threshold.toFixed(2)}</p>
             <p>Fout positief: {detectionQaResult.false_positives}</p>
             <p>Fout negatief: {detectionQaResult.false_negatives}</p>
             {detectionQaResult.coverage ? (