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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20002025
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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.
133 works in the cohort · of 4,299,418page 1 of 3
Labels cover 0 of 133 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 133 of 133 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Luciana Tucunduva, Victor Hugo Lara Cardoso de Sá, Erika Tae Koshimura, Fernanda Vilas Boas Prudente, Andréa Felice dos Santos, Eliana Sueco Tibana Samano +2 more
2004· article· pt· Revista da Associação Médica Brasileira· Medicine
Júlio César Figueiredo Júnior, Fernanda Viana de Moraes, Wanderson Alves Ribeiro, Gabriella Loçasso Ferreira da Luz Pereira, Felipe de Castro Felício, Dina Luciana Batista Andrade
2020· article· pt· Nursing Edição Brasileira· Medicine
Alana Oliveira Francelino, Jemima Albuquerque Gomes Da Silva, Maria Deysiane Porto Araújo, Maria Lyra, Victor Vinicius Cunha Brito, Alberto Antônio Tenório Fidelis +2 more
2022· review· pt· Brazilian Journal of Development· Medicine
Júlia Naomi Tamanaha, Ana Clara Zukauskas Lima Santos, Antonio Augusto Loureiro de Moraes, BRENO PRODOSSIMO MATHIAS, Carolina Ferreira Gama Pinto, Fernanda Firmiano Casarotto +3 more
2024· article· pt· Brazilian Journal of Health Review· Medicine
