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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20152025
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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.
7 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 7 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 7 of 7 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Elton Lima Santos, Maria do Carmo Mohaupt Marques Lüdke, José Milton Barbosa, Emerson Carlos Soares, Misleni Ricarte de Lima, Jorge Vitor Lüdke +1 more
2020· article· en· DESAFIOS Revista Interdisciplinar da Universidade Federal do Tocantins· Agricultural and Biological Sciences
Joyce Lopes Macedo, Amanda Suellenn da Silva Santos Oliveira, Irislene Costa Pereira, Josiane da Rocha Silva Ferraz, Magnólia de Jesus Sousa Magalhães Assunção
2020· article· pt· DESAFIOS Revista Interdisciplinar da Universidade Federal do Tocantins· Agricultural and Biological Sciences
Renata Andrade de Medeiros Moreira, Wendy Moura Sanches, Quézia Catharinne Cavalcante de Melo, Renata Junqueira Pereira, Paulo Fernando de Melo Martins
2025· article· pt· DESAFIOS Revista Interdisciplinar da Universidade Federal do Tocantins· Health Professions