How these rankings work
Experimental AI assessments, not a measure of a researcher’s ability or a guarantee of originality. Only voluntarily published scores from verified accounts are included. Published research ranks each shared paper separately, including multiple papers by the same researcher. Idea stages use each researcher’s highest score. Rankings use the current UTC month and evaluator cohort. Ties share a rank. Published research also requires verified ownership of its connected Google Scholar profile.
Percentiles appear once at least 20 entries participate and include everyone tied at or above that score. They describe this participating group, not all research ideas. All eligible entries can be browsed, 50 per page. Ranks and percentiles are calculated across the entire group, not just this page. Initial ideas and research with added notes are compared separately; notes are user-provided, not independently validated.
SCIME-Research-0.3 · claude-haiku-4-5. Published PDFs use five weighted dimensions: research question 15%, method and study design 25%, comparisons and validation 20%, results and conclusions 25%, reproducibility documentation 15%. External literature search is not required. Idea assessments use six equally weighted dimensions: Hypothesis, Literature validation, Experimental design, Baselines, Results and Reproducibility. Not-started stages contribute zero; insufficient evidence leaves the aggregate unassessed. Identical saved research states reuse their assessment; literature and model changes can still affect later evaluations.