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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20122025
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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.
72 works in the cohort · of 4,299,418page 1 of 2
Labels cover 1 of 72 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 72 of 72 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Mariane Karin de Moraes Oliveira, Uiara Aline de Oliveira Kaizer, Fernanda Freire Jannuzzi, Maria Cecília Bueno Jayme Gallani, Neusa Maria Costa Alexandre, Marília Estêvam Cornélio +2 more
2021· article· en· Value in Health Regional Issues· Social Sciences
Cristiane Koeche, Ana Cláudia Cavalcante Nogueira, Giselle Pinto da Silva Amaral, Adriana J. B. A. Guimarães, Yasmim Botelho Neiva, Ana Aparecida Adeodato de Souza +4 more
2025· article· en· Value in Health Regional Issues· Medicine
Marília Mastrocolla de Almeida Cardoso, Lehana Thabane, Luís Gustavo Modelli de Andrade, Daniel da Silva Pereira Curado, Denis Satoshi Komoda, Juliana Machado‐Rugolo +2 more
2023· article· en· Value in Health Regional Issues· Economics, Econometrics and Finance
