Add guarded promoted YOLO activation

backend/tests/test_sprint155_detection_operator_profiles.py

@@ -4,7 +4,7 @@ from pathlib import Path
 ROOT = Path(__file__).resolve().parents[2]
 
 
-def test_detection_operator_profiles_define_explicit_non_default_yolo_candidates() -> None:
+def test_detection_operator_profiles_define_explicit_yolo_candidates_and_promoted_profile() -> None:
     profiles = ROOT / "frontend" / "src" / "components" / "detection" / "detectionProfiles.ts"
     source = profiles.read_text(encoding="utf-8")
 
@@ -15,7 +15,10 @@ def test_detection_operator_profiles_define_explicit_non_default_yolo_candidates
     assert "confidenceThreshold: 0.15" in source
     assert "confidenceThreshold: 0.35" in source
     assert "defaultApproved: false" in source
+    assert "defaultApproved: true" in source
     assert "promotionRecommendation: 'none'" in source
+    assert "promotionRecommendation: 'promote_candidate'" in source
+    assert "pure-empty gate passed" in source
     assert "false-positive pressure" in source
 
 
@@ -29,6 +32,7 @@ def test_detection_lab_surfaces_profiles_as_deliberate_operator_actions() -> Non
     assert "profile.displayName" in lab
     assert "profile.confidenceThreshold" in lab
     assert "Candidate only - not default-approved" in lab
+    assert "default-approved" in lab
     assert "Apply profile" in lab
     assert "onApplyOperatorProfile(profile)" in lab
     assert "Recommended starting threshold: 0.25" not in lab