# Phase 2 live A/B: does a lead gain ABOVE 1.0 beat shipped Pattern?
#
# One frozen binary (git archive HEAD), real DrussGT, 6 arms x 7 runs x 7 rounds.
# Every BitBrain arm swaps the admitted rack gun (Pattern off, BitBrain on) so the
# ONLY thing that changes is the lead gain: BitBrain's base prediction IS Pattern
# (`tmh.pattern.predict`), scaled over the line of sight by `gain`. The correction
# is applied only in the long bands (range >= 300 px, BB_GAIN_BAND_MIN), i.e. the
# region never tested live. TR_BITBRAIN_LOG=1 puts the APPLIED gain on the [bb]
# line; liveness is read from the boot env report (raw `[env] VAR=VALUE`).
#
#   control = shipped Pattern-only rack, no env  (reference)
#   g100    = single candidate 1.0 -> FIXED gain, identity: MUST match control
#   glo     = learner restricted to <= 1   (expected HARMFUL per the live HeadOn kill)
#   ghi     = learner allowed above 1      (THE HYPOTHESIS)
#   gfix150 = fixed 1.5, no learning
#   gfix125 = fixed 1.25, no learning
control |
g100    | TR_RACK_PATTERN=off TR_RACK_BITBRAIN=both TR_BITBRAIN_GAINS=1.0 TR_BITBRAIN_LOG=1 | fixed gain 1.0 (identity/validity)
glo     | TR_RACK_PATTERN=off TR_RACK_BITBRAIN=both TR_BITBRAIN_GAINS=0.25,0.5,0.75,1.0 TR_BITBRAIN_LOG=1 | learner restricted to <= 1
ghi     | TR_RACK_PATTERN=off TR_RACK_BITBRAIN=both TR_BITBRAIN_GAINS=1.0,1.25,1.5,2.0 TR_BITBRAIN_LOG=1 | learner allowed above 1 (HYPOTHESIS)
gfix150 | TR_RACK_PATTERN=off TR_RACK_BITBRAIN=both TR_BITBRAIN_GAINS=1.5 TR_BITBRAIN_LOG=1 | fixed gain 1.5, no learning
gfix125 | TR_RACK_PATTERN=off TR_RACK_BITBRAIN=both TR_BITBRAIN_GAINS=1.25 TR_BITBRAIN_LOG=1 | fixed gain 1.25, no learning