Handbook
intelligence_physics_model_assess_v1 v1
Purpose: Assess a unit-aware physical model separately from the correctness of computations performed with it.
Updated
Inputs
Required: model_candidate, unit_registry, training_observations, heldout_observations, assessment_policy.
Outputs
Required: model_assessment, status.
Substrate reuse
- Generic tasks:
extract_schema_from_text,contradiction_scan,llm_multi_label - Operators:
seq,branch,fallback_chain,for_each,repeat,try_catch,until_ok
Verification policy
- units and dimensions
- frame and sign conventions
- residual and convergence evidence
- train/heldout separation
- regime and omitted effects explicit
Failure modes
- dimension mismatch
- data leakage
- overfit model
- out-of-regime extrapolation
- missing uncertainty decomposition
Runtime status
Proposal only. Repository-native implementation, fixtures, validators, maturity registration, and allowlist entry are required.