Evidence typing on a per claim basis is the right abstraction. Most fact-checking tools treat a document as a single unit, but technical writing mixes well established facts, contested interpretations, and unverifiable assertions, and they all need different handling. The domain where this is most valuable is health and supplementation, where a single paragraph can mix claims backed by RCTs, mechanistic plausibility statements, and marketing assertions with zero evidence basis. I've been building a supplement interaction checker (vital-stack.com) and the signal to noise problem on health claims is significant enough that an evidence grade layer would be directly useful. Does Grainulator handle the case where a claim is supported by evidence but the evidence quality is low, say an n=20 observational study vs. a preregistered meta-analysis?
Evidence typing on a per claim basis is the right abstraction. Most fact-checking tools treat a document as a single unit, but technical writing mixes well established facts, contested interpretations, and unverifiable assertions, and they all need different handling. The domain where this is most valuable is health and supplementation, where a single paragraph can mix claims backed by RCTs, mechanistic plausibility statements, and marketing assertions with zero evidence basis. I've been building a supplement interaction checker (vital-stack.com) and the signal to noise problem on health claims is significant enough that an evidence grade layer would be directly useful. Does Grainulator handle the case where a claim is supported by evidence but the evidence quality is low, say an n=20 observational study vs. a preregistered meta-analysis?