Evidence, Trust, and Novelty are recorded independently for every screening run—alongside the provenance that decides whether each one can be used at all.
— screening runs in a corpus of — indexed bioRxiv and medRxiv preprints.
A first-pass reading aid—not peer review, scientific verification, or a publication recommendation.
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Automated checks, model-reviewer roles, explicit gates, and visible provenance.
Paper-mill detection, statcheck p-value verification, GRIM tests, data availability, retraction cross-referencing — before any LLM runs.
Methods, statistics, ethics, validity, domain, adversarial, and positive-evidence roles inspect routed manuscript context. Their outputs are correlated machine signals, not independent peer reviews.
Structured model outputs become separate Evidence, Trust, and Novelty screening axes. Deterministic safety gates can cap or withhold signals when critical checks fail.
Full-text input, role participation, automated-check health, judge execution, and literature grounding determine whether each axis is available, limited, or withheld.
