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
20192025
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.
9 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 9 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 9 of 9 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Júlio César Figueiredo Júnior, Fernanda Viana de Moraes, Wanderson Alves Ribeiro, Gabriella Loçasso Ferreira da Luz Pereira, Felipe de Castro Felício, Dina Luciana Batista Andrade
2020· article· pt· Nursing Edição Brasileira· Medicine
Patrick Leonardo Nogueira da Silva, Fabrícia Josely Oliveira Barbosa, Vitor Hugo Maraslis Soares, Fábio Batista Miranda, Ana Patrícia Fonseca Coelho Galvão, Carolina dos Reis Alves
2021· article· pt· Nursing Edição Brasileira· Medicine
Cláudio Luís de Souza Santos, Patrick Leonardo Nogueira da Silva, Fábio Batista Miranda, Ana Patrícia Fonseca Coelho Galvão, Valdira Vieira de Oliveira, Carolina dos Reis Alves
2020· article· pt· Nursing Edição Brasileira· Psychology
Bruno Gonçalves da Silva, Vânia Paula de Carvalho, Maria Eduarda Becho Arger Marchetti, André Alves Elias, Flávio Lopes Ferreira, Armando Sérgio de Aguiar Filho
2021· article· pt· Nursing Edição Brasileira· Medicine