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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20092022
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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.
9 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 9 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 9 of 9 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Angelo Corrêa de Lima Miliatto, Carlos Ugrinowitsch, Jumes Leopoldino Oliveira Lira, Acácio Moreira‐Neto, Bianca Cristina dos Santos Vieira Yano, Raquel Marquesini +1 more
2021· article· pt· Revista Brasileira de Educação Física e Esporte· Medicine
Fernando Machado CECHIN, Paulo Henrique Mellender Evangelista, Ricardo Pedrozo Saldanha, Marcos Alencar Abaíde Balbinotti, Roberto Tierling Klering, Marcus Levi Lopes Barbosa +1 more
2014· article· pt· Revista Brasileira de Educação Física e Esporte· Psychology
Amanda Veiga Sardeli, Arthur Fernandes Gáspari, Lucas do Camargo Santos, Marina Lívia Venturini Ferreira, Alexander J. Rosenberg, Tracey Baynard +3 more
2021· article· en· Revista Brasileira de Educação Física e Esporte· Medicine