voiage.methods.ai_assisted_evidence_triage.value_of_ai_assisted_evidence_triage
value_of_ai_assisted_evidence_triage
Section titled “value_of_ai_assisted_evidence_triage”value_of_ai_assisted_evidence_triage([positional or keyword] relevance_labels: np.ndarray | list[int] | list[bool] = None, [positional or keyword] triage_scores: np.ndarray | list[float] = None, [positional or keyword] decision_impacts: np.ndarray | list[float] = None, [positional or keyword] reviewer_time_minutes: np.ndarray | list[float] = None, [positional or keyword] extraction_error_rates: np.ndarray | list[float] = None, [keyword-only] triage_threshold: float = 0.5, [keyword-only] audit_sample_rate: float = 0.0, [keyword-only] human_override_rate: float = 0.0, [keyword-only] model_drift: float = 0.0, [keyword-only] automation_cost: float = 0.0, [keyword-only] audit_cost_per_item: float = 0.0, [keyword-only] reviewer_cost_per_minute: float = 1.0) -> AIAssistedEvidenceTriageResultEstimate the value of automated evidence triage with human oversight.
relevance_labels and triage_scores form a deterministic reference
evaluation set. Scores at or above triage_threshold are selected for
downstream review. Audit sampling and human overrides recover a bounded
fraction of false exclusions and false inclusions, while extraction error,
model drift, automation cost, and reviewer time are included in the net
decision value. The result remains fixture-backed pending external model
validation, licensed evidence corpora, and cross-language parity.
Parameters:
relevance_labelsnp.ndarray | list[int] | list[bool]triage_scoresnp.ndarray | list[float]decision_impactsnp.ndarray | list[float]reviewer_time_minutesnp.ndarray | list[float]extraction_error_ratesnp.ndarray | list[float]triage_thresholdfloat(default:0.5)audit_sample_ratefloat(default:0.0)human_override_ratefloat(default:0.0)model_driftfloat(default:0.0)automation_costfloat(default:0.0)audit_cost_per_itemfloat(default:0.0)reviewer_cost_per_minutefloat(default:1.0)
Returns: AIAssistedEvidenceTriageResult