Deep Interpretation Schema v1

This document records the current evidence-first deep interpretation output contract used by build_evidence_report.

`structured_result_interpretation_v1`

One object per stage. It reports local stage facts and the interpretation boundary for article-style Results writing.

Required fields:

schema: always structured_result_interpretation_v1.
stage_group: coarse evidence group, such as classification_structure_support or rna_response_candidate_prioritization.
interpretation_level: one of publishable_result, descriptive_only, candidate_only, or boundary_only.
local_facts: compact manifest/parsed facts used by the interpretation.
evidence_refs: local evidence handles from extracted stage evidence.
missing_slots: missing outputs or partial-success gaps that prevent stronger claims.
downgrade_reasons: explicit reasons for lowering interpretation strength.
boundary: reviewer-facing wording for what must not be claimed.

One object per evidence group. It gives cross-stage Results narrative while preserving the weakest required boundary.

Required fields:

schema: always grouped_result_interpretation_v1.
group, title, stages: group identity and included completed stages.
readiness: the lowest readiness among included structured stage interpretations.
result_interpretation: cross-stage Results-style narrative based only on local stage evidence.
evidence_refs, missing_slots, downgrade_reasons: merged from stage-level entries.
boundary: group-level claim boundary.

High MSA gap or missing support prevents strong topology and subfamily-function claims.
partial_success stages are descriptive unless missing subproducts are irrelevant to the claim.
RNA-seq and regulatory evidence can prioritize candidates, but cannot prove causal regulation without experimental validation.
RAG/literature context can support wording and background, but cannot replace missing local results.