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.
3,058 works in the cohort · of 4,299,418page 14 of 62
Labels cover 12 of 3,058 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 3,058 of 3,058 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.
Luis A. Trujillo-Villarreal, Viktor J. Romero-Díaz, Iván Alberto Marino-Martínez, Lizeth Fuentes‐Mera, Marco Antonio Ponce-Camacho, Gabriel A. Devenyi +3 more
2021· article· en· Translational Psychiatry· Medicine
