# Research question

When an entire LNP publication is unseen, can formulation and assay metadata rank that publication's most active candidates well enough to guide a bounded screening campaign?

## Second-cycle scope, approved 2026-08-03

- Replay the frozen publication-cold predictions at declared experimental budgets.
- Compare top-decile recall and panel-level any-hit probability with exact random selection at the same integer count.
- Control family-wise error across seven budgets separately for recall uplift and any-hit uplift.
- Build a target-free publication-distance map from formulation and assay features only.
- Test whether nearest-publication distance predicts held-out publication ranking quality.

The study is retrospective. It does not claim prospective discovery, laboratory validation, manufacturing readiness, safety, efficacy, or clinical benefit.
