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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20032025
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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.
35 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 35 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 35 of 35 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Guillermo García-Pérez-de-Sevilla, Enrique Alonso-Pérez, Hélios Pareja-Galeano, Eva María Martínez‐Jiménez, Marta de la Plaza San Frutos, Beatriz Sánchez-Pinto-Pinto +1 more
2021· article· en· Sao Paulo Medical Journal· Health Professions
Leopoldo Muniz da Silva, Ana Clara Mourão Barreto, Rafael Souza Fava Nersessian, Saullo Queiroz Silveira, Helidea de Oliveira Lima, Matheus de Alencar Arraes +2 more
2025· article· en· Sao Paulo Medical Journal· Medicine
Raoni de Oliveira Domingues-da-Silva, Helady Sanders‐Pinheiro, Emiliana Holanda Pedrosa, Camila S. Santos, Jerônimo Junqueira, Ronaldo de Matos Esmeraldo +3 more
2025· article· en· Sao Paulo Medical Journal· Medicine