Lower provisional review threshold

README.md

@@ -334,7 +334,7 @@ crop_bottom_fraction = 0.30   # Untere 30% ausblenden (Letterbox/Subs)
 [cv.deep_scan]
 coarse_step_seconds  = 0.5    # Scan-Schrittgröße (Coarse Pass)
 match_threshold      = 0.65   # Mindestscore für bestätigte automatische Matches
-provisional_match_threshold = 0.45 # Niedrigere automatische Kandidaten im Report zeigen
+provisional_match_threshold = 0.43 # Niedrigere automatische Kandidaten im Report zeigen
 coarse_candidate_threshold = 0.50 # Niedrigeres Gate vor Multi-Frame-Refine
 refine_window_seconds = 0.6   # Suchfenster für framegenaue Inpoint-Feinjustage
 refine_step_seconds  = 0.04   # ~1 Frame bei 25fps (Refine Pass)

config.toml

@@ -72,7 +72,7 @@ match_threshold       = 0.65
 
 # Store/report lower-confidence automatic candidates for visual review instead
 # of dropping them as "NO MATCH". Confirmed exports can still use match_threshold.
-provisional_match_threshold = 0.45
+provisional_match_threshold = 0.43
 
 # Lower gate for entering temporal multi-frame refinement. The final decision
 # still uses sequence/span scoring; this only avoids rejecting real matches

src/core/config.py

@@ -259,7 +259,7 @@ def load_config(
     deep_scan = DeepScanConfig(
         coarse_step_seconds=float(cv_raw["deep_scan"]["coarse_step_seconds"]),
         match_threshold=float(cv_raw["deep_scan"]["match_threshold"]),
-        provisional_match_threshold=float(cv_raw["deep_scan"].get("provisional_match_threshold", 0.45)),
+        provisional_match_threshold=float(cv_raw["deep_scan"].get("provisional_match_threshold", 0.43)),
         coarse_candidate_threshold=float(cv_raw["deep_scan"].get("coarse_candidate_threshold", cv_raw["deep_scan"]["match_threshold"])),
         sequence_score_weight=float(cv_raw["deep_scan"].get("sequence_score_weight", 0.55)),
         span_score_weight=float(cv_raw["deep_scan"].get("span_score_weight", 0.15)),