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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20172025
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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.
83 works in the cohort · of 4,299,418page 1 of 2
Labels cover 0 of 83 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 83 of 83 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Cleyton Salvego Santos, Júlia Ribeiro Pinto, Robson Dias Scoz, Bruno Mazziotti de Oliveira Alves, Paulo Rui de Oliveira, Wuber Jefferson Souza Soares +3 more
2022· review· en· The Journal of Sports Medicine and Physical Fitness· Medicine
Luíz F. DA SILVA, Paulo Francisco de Almeida‐Neto, Alexandre Bulhões-Correia, Victor Sabino de Queirós, Dihogo Gama de Matos, Paulo MOREIRA SILVA SANTAS +1 more
2022· article· en· The Journal of Sports Medicine and Physical Fitness· Psychology
Cauê Vazquez La Scala Teixeira, Sionaldo Eduardo Ferreira, Paulo Henrique Silva Marques de Azevedo, Iván Chulvi‐Medrano, Sandor Dorgo, Belmiro Freitas de Salles +2 more
2017· article· en· The Journal of Sports Medicine and Physical Fitness· Medicine