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
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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.
276 works in the cohort · of 4,299,418page 1 of 6
Labels cover 4 of 276 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 276 of 276 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Isabela Dantas de Araujo Lima, Casandra Genoveva Rosales Martins Ponce de Leon, Laiane Medeiros Ribeiro, Izabel Cristina Rodrigues da Silva, Danielle Monteiro Vilela Dias, Luciana Mara Monti Fonseca +2 more
2021· article· en· JMIR Serious Games· Social Sciences
Michelle Alexandrina dos Santos Furtado, Ricardo Rodrigues de Sousa, Luana Aparecida Soares, Bruno Alvarenga Soares, Karoline Tury de Mendonça, Peter Rosenbaum +3 more
2022· article· en· Physical & Occupational Therapy In Pediatrics· Social Sciences
Marina Bertelli Rossi, Rui Carlos Negrão Baptista, Rosali Isabel Barduchi Ohl, Tânia Arena Moreira Domingues, Alba Lúcia Bottura Leite de Barros, Juliana de Lima Lopes
2018· article· en· Journal of Nursing Education and Practice· Social Sciences
Luciana Mara Monti Fonseca, Fernanda dos Santos Nogueira de Góes, Mayra Jardim Medeiros, Fernanda Salim Ferreira de Castro, Nelma Ellen Zamberlan-Amorim, Carmen Gracinda Silvan Scochi
2012· article· en· Journal of Nursing Education and Practice· Social Sciences
