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.
47 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 47 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 47 of 47 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Júlia Magalhães-Saldanha, José Evando da Silva-Filho, Samuel Chillavert Dias Pascoal, Francisco Samuel Rodrigues Carvalho, Anil Kishen, Fábio de Almeida Gomes +1 more
2025· review· en· Journal of Advances in Medicine and Medical Research· Engineering
T. S. Espósito, Tássia Mariana Moreira da Paz, L.O.W. Rodrigues, Augusto Cézar Apolinário dos Santos, Romeu de Almeida, Olivia Franco dos Santos +3 more
2020· article· en· Journal of Advances in Medicine and Medical Research· Business, Management and Accounting
Hebertt Gonzaga dos Santos Chaves, Pedro César Gomes Titato, Ana Carolina Soares Mendes, Vilton Cardozo Moreira Dias, Barbara Figueiredo, Rodolfo Gonçalves Lima +6 more
2025· article· en· Journal of Advances in Medicine and Medical Research· Medicine
Adriana Araujo da Silva, George Brenno de Sousa Eracto, Warly Neves de Araújo, Thaynara Francisca das Neves Morais, Tomás Tejerina Sellos Costa Bahia de Almeida, Raianny Alves dos Santos +6 more
2023· article· en· Journal of Advances in Medicine and Medical Research· Medicine