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.
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20062025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
11 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 11 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 11 of 11 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ana Paula Abreu Mendonça, Raymis Bruno Rosa Moura, Piero Henrique Miranda Teodoro, Renato Ravetti, Marianne Villettaz Robichaud, Celso Antônio Rodrigues
2025· article· Brazilian Journal of Veterinary Research and Animal Science· Agricultural and Biological Sciences
Mariana Ianello Giassetti, Flávia Regina Oliveira de Barros, Camilla Mota Mendes, Marcelo Demarchi Goissis, Fernanda Sevciuc Maria, Adriano Felipe Perez Siqueira +3 more
2017· article· pt· Brazilian Journal of Veterinary Research and Animal Science· Nursing
Giglio Fortes Robson, Júlio César de Carvalho Balieiro, Franklin de Almeida Sterman, Ana Carolina Brandão de Campos Fonseca Pinto, María Angélica Miglino, Mayana Zatz +1 more
2006· article· en· Brazilian Journal of Veterinary Research and Animal Science· Medicine