Domain experts can submit testable hypotheses for the OpenScience.ai pipeline to formalise, enrich with literature and data, and route for peer review. Every submission is screened by an AI domain expert before entering the pipeline.
⚡ Submissions are automatically screened for domain plausibility. Hypotheses with fundamental scientific errors are archived with an explanation.
1. Core Claim
The structured hypothesis
8–15 words, no raw numbers. E.g. 'CYP2D6*17 shows ancestry-specific metaboliser frequency in African populations'
0/200
Comma-separated. E.g. CYP2D6*17, rs28371706
How entity affects outcome
What you measured. E.g. allele frequency, IC50, expression level
Compared to what? E.g. European populations, wild-type
Which population, organism, condition, tissue
State your hypothesis in full. Be precise. No invented statistics — use 'requires statistical validation' if you don't have exact numbers.
0/2000 (min 50)
2. Evidence
What supports this
Describe what you observed or know. Cite databases, papers, or your own data. No need for full citations — keywords are enough.
What gap does this address? Why isn't it already published?
