Skip to content

RFC-035: Mediation Vector Profile — A Validity-Aware Measurement Model for Domains of Concern — 12. Extraction Methods

AIGP SpecificationRFC-035: Mediation Vector Profile — A Validity-Aware Measurement Model for Domains of Concern › 12. Extraction Methods

← 11. Evidence Admissibility · Section index · 13. Minimal Mediation Vector: Autonomous Systems →

12. Extraction Methods

Each variable declares how its value is extracted from evidence:

Extraction Type Description Automation Level
deterministic Direct computation from structured evidence (boolean logic, arithmetic) Fully automated
rule_based Pattern matching or threshold application against evidence fields Fully automated
model_derived LLM-as-judge or classifier applied to unstructured evidence Semi-automated (requires calibration)
human_assessed Human observer assigns value based on professional judgment Manual
composite Combines multiple extraction methods with declared weights Mixed

8.1 Extraction Method Declaration

{
"extraction_method": {
"type": "composite",
"components": [
{"type": "deterministic", "weight": 0.6, "logic": "scope_envelope.decision == ALLOW"},
{"type": "rule_based", "weight": 0.2, "logic": "budget_remaining.actions > 0"},
{"type": "human_assessed", "weight": 0.2, "source": "reviewer_authority_rating"}
],
"aggregation": "weighted_mean"
}
}


← 11. Evidence Admissibility · Section index · 13. Minimal Mediation Vector: Autonomous Systems →