A machine-screening index for bioRxiv and medRxiv preprints
One preprint, three separate signals.
Every screening run records Evidence, Trust and Novelty as three independent readings. Each one carries the provenance that decides whether it can be used at all.
— screening runs so far, drawn from an index of about — preprints.
A first-pass reading aid. Not peer review, not scientific verification, and not a recommendation to publish.
The index today
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- Indexed preprints—
- Screening runs—
- Eligible queue—
- Complete runs—
Evidence
letter, A to EMachine-detected strength of methods, results and claim support. A is the strongest recorded support, E the weakest.
Trust markers
letter, A to EA meets nearly all applicable trust checks, C some, E minimal. Transparency markers, reproducibility, statistical rigour and citation health; fraud checks cap the grade.
Novelty
number, 1 to 101 landmark, 5 important, 10 minimal. Machine-generated, and lower means more novel.
Recent screening signals
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How a signal is made
Automated checks run first, model-reviewer roles read second, and explicit gates decide what can be published. Every step leaves a record on the report.
Read the full methodology-
Deterministic checks
Paper-mill detection, statcheck p-value verification, GRIM tests, data-availability and retraction cross-referencing all run before any language model reads a word.
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Eleven model-reviewer roles
Methods, statistics, ethics, validity, domain, adversarial and positive-evidence roles inspect routed manuscript context. Their outputs are correlated machine signals, not independent peer reviews.
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Rubric-guided synthesis
Structured model outputs become separate Evidence, Trust and Novelty axes. Deterministic safety gates can cap or withhold a signal when a critical check fails.
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Provenance and abstention
Full-text input, role participation, automated-check health, judge execution and literature grounding decide whether each axis is available, limited or withheld.