T18 Phase 1 Tier 1: config snapshot

config.json

@@ -6,9 +6,10 @@
   "skip_boilerplate": true,
   "operating_threshold": 0.436,
   "decision_band": {
-    "reject_below": 0.3,
-    "fast_pass_at_or_above": 0.85,
-    "escalate_between": "(0.30, 0.85)"
+    "reject_below": 0.25,
+    "fast_pass_at_or_above": 0.55,
+    "escalate_between": "(0.25, 0.55)",
+    "note": "Recalibrated empirically on production score distribution. Plan-time (0.30, 0.85) left FAST_PASS empty."
   },
   "training_data": {
     "source": "setfit_experiments PostgreSQL DB + multi-signal Phase 0 relabeling",
@@ -73,5 +74,15 @@
     "mlp_05",
     "mlp_tuned"
   ],
-  "winner_selection_rule": "max F1 across LogReg, LogReg+Platt, MLP at best threshold; simplicity tiebreak to LogReg"
+  "winner_selection_rule": "max F1 across LogReg, LogReg+Platt, MLP at best threshold; simplicity tiebreak to LogReg",
+  "calibrator": {
+    "filename": "ccr_binary_isotonic_calibrator.joblib",
+    "method": "isotonic_prefit",
+    "fit_split_seed": 42,
+    "fit_split_size": 64,
+    "test_ece_before": 0.27835753511850964,
+    "test_ece_after": 0.08663491157117499,
+    "shipped_model_filename": "ccr_binary_logreg_tuned.joblib",
+    "note": "Optional artifact. Produces approximately 3 plateau outputs (0.737, 0.833, 1.000) due to small (~70-doc) calibration set. Treat as 3-level confidence rather than fine-grained probability. See ISOTONIC_CALIBRATION_FINDINGS.md."
+  }
 }