logit_adjustment.json

{
  "priors": {
    "validated_by": 3.4233679093492176e-05,
    "had_outcome": 3.4233679093492176e-05,
    "failed_because": 3.4233679093492176e-05,
    "worked_because": 3.4233679093492176e-05,
    "decided": 0.004416144603060491,
    "blocked_by": 0.01554209030844545,
    "has_next_action": 0.013933107391051316,
    "has_status": 0.013727705316490363,
    "has_goal": 0.16336311663414468,
    "touched_file": 0.18633391530587792,
    "ran_command": 0.2814350758275992,
    "logged_event": 3.4233679093492176e-05,
    "has_constraint": 0.1833898189038376,
    "has_open_question": 0.1111225223374756,
    "has_quality_finding": 0.012221423436376708,
    "reverted_file": 3.4233679093492176e-05,
    "deleted_file": 0.0005135051864023827,
    "created_file": 0.013693471637396872,
    "committed": 3.4233679093492176e-05,
    "deployed": 3.4233679093492176e-05,
    "incident_observed": 3.4233679093492176e-05
  },
  "default_tau": 0.0,
  "predicate_order": [
    "validated_by",
    "had_outcome",
    "failed_because",
    "worked_because",
    "decided",
    "blocked_by",
    "has_next_action",
    "has_status",
    "has_goal",
    "touched_file",
    "ran_command",
    "logged_event",
    "has_constraint",
    "has_open_question",
    "has_quality_finding",
    "reverted_file",
    "deleted_file",
    "created_file",
    "committed",
    "deployed",
    "incident_observed"
  ],
  "note": "At inference: predicate_logit[y] -= tau * log(priors[y])."
}