{
  "prefix": "019_focal",
  "recording_pairs": 300,
  "all_target_appearances": 1200,
  "baseline_eligible_appearances": 1196,
  "conditional_loss_fraction": 0.5710702341137124,
  "median_score_change": -0.44927930306656777,
  "max_equivalence_logit_error": 0.0,
  "max_equivalence_probability_error": 0.0,
  "interpretation": "Shared pairwise waveform normalization keeps all target samples after normalization exactly unchanged. Residual loss therefore cannot be explained solely by waveform min/max rescaling. Later model operations remain unchanged; this does not identify a specific neural-network layer as causal.",
  "original_loss_on_same_eligible_appearances": 0.5710702341137124,
  "max_mixture_equivalence_score_error": 7.181561634261868e-08,
  "source_control_comparison": "Mixture predictions match the original model; only baseline normalization changes under this intervention."
}