HEAD: wiener weight .25 (1601.2 on bgkf, deployment parity exact; count-flat weight tweak inside the validated blend; sub-bar 1.6sigma, shipped per user)

batteryswap_example/cv.py

@@ -321,6 +321,9 @@ CANDIDATES = {
     # the alpha-1.0 A/B (head 401f171): ft2 with planner appetite 1.0.
     # Count-coupled vs ft2 (17W/24L on the increment) - public arbitrates.
     'ft2a10': dict(variant='vm7', blend=('wiener', 0.20), p_star=1.0),
+    # the SHIPPED head (w .25 at alpha 1.0: -22.7 +/- 14.2 vs w .20, 1.6
+    # sigma, count-flat - sub-bar but bounded-risk weight tweak)
+    'head': dict(variant='vm7', blend=('wiener', 0.25), p_star=1.0),
 }
 
 

batteryswap_example/submit.py

@@ -211,7 +211,7 @@ class FrontierRUL:
 # softly: missing wnr_* columns drop the wiener source (pure vm7 logbag),
 # any fit error falls back to the legacy champion via _fit_model.
 FT2 = os.environ.get('BATTERYSWAP_FT2', '1') != '0'
-FT2_W = float(os.environ.get('BATTERYSWAP_FT2_W', '0.20'))
+FT2_W = float(os.environ.get('BATTERYSWAP_FT2_W', '0.25'))
 # Scale hardening (phase 62 synthetic scaling study): vmin7_rank as a
 # FIXED-reference percentile (train ECDF of v_min_7) instead of the scored
 # fleet's live rank. Live-rank ft2's edge decays with fleet size and