MCID concept inference

Description

Collective dataset inference at the concept level for image distributions.

Technical signature

in: (model, concept_distribution) → out: { collective_p_value }

Adversarial robustness

Strong under per-image defenses since it aggregates across distribution.

Daubert eligibility

Method is peer-reviewed, has published error rates, and is reproducible from the chain-of-custody hash. Eligible for Tier-A admissibility packaging. Ultimate admissibility is the court's determination.