The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
790 works in the cohort · of 4,299,418page 6 of 16
Labels cover 1 of 790 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 790 of 790 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.
María del Carmen Navarro-Saez, Carlos Feijoo-Massó, Zully del Carmen Bravo Ferrer, Joan Carles Oliva Morera, Andrea María Balado González, Alba Palau-Domínguez +3 more
2023· article· en· The International Journal of Cardiovascular Imaging· Biochemistry, Genetics and Molecular Biology
2020· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
