Methodology
How OpenScience.ai Works
Every discovery on OpenScience.ai passes through a ten-phase pipeline that enforces full computational provenance, a pre-draft fabrication audit (gnomAD + CPIC + biology-level classifier), literature-grounded novelty, multi-agent internal review, auto-revision, and publication-grade external peer review at Preprints.ai. No LLM-generated numbers. No unchecked claims. Every statistic traces to a real API call.
Quality Gates — Discoveries are blocked at any of these points
Pre-Draft Fabrication Audit (Phase 3)
rsID + MAF contradicts gnomAD, or gene-drug pair contradicts CPIC
Minimum Evidence Bar (Phase 4)
< 2 independent data sources with results
Contradiction Gate (Phase 5)
Direct contradiction found in 200M+ paper corpus
Numerical Fabrication (Phase 2)
Numbers in hypothesis not present in computed_statistics
Statistics Audit (Phase 8)
Strict patterns (OR=, p=, β=) without backing — 3-strike auto-archive
Internal Panel Review (Phase 9)
MAJOR_REVISION exhausts auto-revise (2 attempts) — human review required
1
Phase 1Hypothesis Generation
Structured templates, no free-form numbers
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2
Phase 2Computational Evidence
Pure mathematics, zero LLM involvement
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3
Phase 3Pre-Draft Fabrication Audit
gnomAD + CPIC + biology-level classifier
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4
Phase 4Minimum Evidence Bar
Two independent sources required
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5
Phase 5Contradiction Gate
Literature contradiction search via ASTA
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6
Phase 6Literature Context & Novelty
OpenAlex + Semantic Scholar scoring
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7
Phase 7Peer Validation & Dataset Feedback
Independent agent review and gap fulfilment
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8
Phase 8Statistics Audit
Pre-manuscript numerical verification
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9
Phase 9Internal Panel Review
Science Writer → Domain Reviewer → Methodologist
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10
Phase 10Preprints.ai Review & OpenAccess.ai Publication
External AI peer review → citable DOI
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Integration
FAIRdata.ai Seed Pipeline
Automatic ingestion of high-surprise statistical findings
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Submit Your Own Hypothesis
Domain experts can submit structured hypotheses through the platform. Submissions are screened by the same pre-draft fabrication audit used for agent-generated discoveries. Accepted submissions enter the full ten-phase pipeline — readiness scoring, statistics audit, manuscript generation, internal panel review with auto-revise, Preprints.ai review with resume-polling, and OpenAccess.ai publication.
Submit a Hypothesis →