# External candidate-evidence import protocol v1.0

This kit converts an informal cross-project update into a reviewable proposed
evidence record. It never updates candidate status, rank or canonical data
automatically.

The preflight evaluates three independent gates:

1. traceable data, code, environment, source and independent units;
2. biological-context, endpoint and project-independence match;
3. an interpretable effect estimate and confidence interval.

For `no_material_signal`, a nonsignificant P value alone is insufficient. The
full confidence interval must lie inside a predeclared negligible-effect
interval under an equivalence, noninferiority or explicit confidence-interval
framework. Any eligible conclusion remains limited to the observed endpoint and
context.

Use the header-only TSV template with the field dictionary and JSON Schema, then
run:

`python3 validate_external_candidate_evidence_import.py --input completed.tsv --output preflight.json`

The validator returns an advisory verdict and never changes canonical records.
A human governance review is required. The current GFOD2 update remains
provenance-pending until actual completed evidence passes that review.