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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20002025
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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.
131 works in the cohort · of 4,299,418page 2 of 3
Labels cover 0 of 131 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 131 of 131 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Roberta Cunha Matheus Rodrigues, Carmen S. Gabetta, Karla Panice Pedro, Fábio Valdetaro, Maria Inez Machado Fernandes, Patrícia Künzle Ribeiro Magalhães +2 more
2008· review· en· Cadernos de Saúde Pública· Medicine
Thaís Moreira São‐João, Roberta Cunha Matheus Rodrigues, Maria Cecília Bueno Jayme Gallani, Cinthya Tamie Passos Miura, Gabriela de Barros Leite Domingues, Steve Amireault +1 more
2015· article· en· Cadernos de Saúde Pública· Medicine
Daniele Flaviane Mendes Camargo, Ana Paula Belon, Letícia Marín‐Léon, Bruna Fernanda do Nascimento Jacinto de Souza, Rafael Pérez‐Escamilla, Ana Maria Segall‐Corrêa
2019· article· en· Cadernos de Saúde Pública· Medicine
Thaís Ribeiral Vieira, Carolina Castro Martins, Renata Magalhães Cyrino, Andréa Mara Oliveira Azevedo, Luís Otávio Miranda Cota, Fernando Oliveira Costa
2018· review· en· Cadernos de Saúde Pública· Dentistry
Natália Peixoto Lima, Diego G. Bassani, Bruna Gonçalves Cordeiro da Silva, Janaína Vieira dos Santos Motta, Elma Izze da Silva Magalhães, Fernando C. Barros +1 more
2019· article· en· Cadernos de Saúde Pública· Medicine
