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
20122025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
234 works in the cohort · of 4,299,418page 1 of 5
Labels cover 0 of 234 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 234 of 234 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ariadna Yáñez-Pizaña, Luis Alberto de la Cruz-Cruz, Ariel Marcel Tarazona-Morales, P. Roldán-Santiago, Gilberto Ballesteros-Rodea, Raym Pineda-Reyes +1 more
2020· article· en· Journal of Buffalo Science· Engineering
Pedro Ancelmo Nunes Ermita, Rinaldo Batista Viana, José Dantas Ribeiro Filho, José Domingos Guimarães, Domingos Cachineiro Rodrigues Dias, Bruno Moura Monteiro +7 more
2016· article· en· Journal of Buffalo Science· Veterinary
