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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20042025
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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.
15 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 15 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 15 of 15 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Graciela Maria Carneiro Maciel, Rejane Maria Paiva de Menezes, Thaís Moreira dos Santos, Heloiza Talita Adriano da Silva, Maria Edjailma Silva Sousa, Gleyce Any Freire de Lima
2014· article· en· Online Brazilian Journal of Nursing· Medicine
Sarah Lamas Vidal, Lavínia Cássia Ferreira Batista, Daniele dos Santos Lages, Bruna Eduarda Bortolomai, Isabela de Caux Bueno, Nathan Guilherme de Oliveira +1 more
2025· article· pt· Online Brazilian Journal of Nursing· Medicine
Darine Marie Rodrigues da Silva, Diogo Timóteo Costa, Manacés dos Santos Bezerril, Waldemar Brandão Neto, Êlizandra Regina dos Santos Gomes, Louise Passos Vigolvino Macêdo +2 more
2025· review· en· Online Brazilian Journal of Nursing· Health Professions
Willyane de Andrade Alvarenga, Natália Rodrigues Macêdo, Aline Karoline Silva Santos, Milena de Lucca, Francine deMontigny, Sílvana Santiago da Rocha +1 more
2023· article· pt· Online Brazilian Journal of Nursing· Psychology