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.
29 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 29 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 29 of 29 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Paulo Francisco de Almeida‐Neto, Rui Barboza Neto, Iago Medeiros, Fernanda Cristina Silva de Oliveira, Abel Gomes de Oliveira Filho, Dihogo Gama de Matos +2 more
2022· article· en· Sport Sciences for Health· Psychology
Thais Maria de Souza Silva, Géssika Castilho dos Santos, Rodrigo de Oliveira Barbosa, Jadson Márcio da Silva, Pedro Henrique Garcia Dias, Maria Carolina Juvêncio Francisquini +2 more
2025· article· en· Sport Sciences for Health· Psychology
Bruno Gonçalves Galdino da Costa, Luís Eduardo Argenta Malheiros, Marcus Vinícius Veber Lopes, Rafael Martins da Costa, Daniel Umpierre, Jaqueline Aragoni da Silva +1 more
2025· article· en· Sport Sciences for Health· Medicine
Rafael A. Fujita, Fernanda Maris Peria, Kristin L. Campbell, Mucio Luis de Assis Cirino, Marina Mello Villalba, Daniela Pretti da Cunha Tirapelli +1 more
2025· article· en· Sport Sciences for Health· Medicine