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
20142024
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.
14 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 14 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 14 of 14 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Daniel Martínez-Ramírez, Rodrigo Llorens-Arenas, Mayela Rodríguez‐Violante, Amin Cervantes‐Arriaga, Hugo Morales‐Briceño, Salvador Velázquez-Osuna +1 more
2014· article· es· Archivos de Neurociencias· Neuroscience
Daniel Martínez-Ramírez, Rodrigo Llorens‐Arenas, Mayela Rodríguez‐Violante, Amin Cervantes‐Arriaga, Hugo Morales‐Briceño, Salvador Velázquez‐Osuna +1 more
2014· article· es· Archivos de Neurociencias· Neuroscience