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.
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
285 works in the cohort · of 4,299,418page 4 of 6
Labels cover 2 of 285 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 285 of 285 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Frank José Silveira Miranda, A K K Shimo, Liliane Parreira Tannús Gontijo, Maria Cristina Moura Ferreira, Tatiana Carneiro de Resende, Marcelle Apa Barros Junqueira +1 more
2025· dataset· en· Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)· Health Professions
LENARA MARCHESAN, TAINá RIBAS DE MORAES, LUCIANO SAMANIEGO ARRUSSUL, DéBORA DICKEL DE JESUS PESSôA, Regina Celia de Castro Gomes, CAROLINA ARAUJO LONDERO +1 more
2022· article· pt· Anais do Simpósio de Ensino, Pesquisa e Extensão (SEPE 2022)· Health Professions
Solange Fátima Geraldo da Costa, Regina Célia de Oliveira, Ana Aline Lacet Zaccara, lice de Fátima Moraes Souza, Betânia da Mata Ribeiro Gomes, Thaís Costa de Oliveira
2018· article· pt· Revista de Pesquisa: Cuidado é Fundamental· Health Professions
2024· dataset· en· Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)· Health Professions
