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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20162025
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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.
13 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 13 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 13 of 13 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Jonathan Muñoz Tabora, Vinicius Borges Andrade, Cleydson Matos Lima, Jamilly Cristina Azevedo da Silva, Carminda Célia Moura de Moura Carvalho, Maria Emília de Lima Tostes +2 more
2023· article· pt· Revista Caribeña de Ciencias Sociales· Decision Sciences
Jean Fernando Sandeski Zuber, Liz Elaine Sowek, Rosemary Rodrigues de Oliveira, Carlos Eduardo Coradassi, Erildo Vicente Müller, Lislei Teresinha Preuss
2025· article· pt· Revista Caribeña de Ciencias Sociales· Health Professions