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.
207 works in the cohort · of 4,299,418page 1 of 5
Labels cover 0 of 207 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 207 of 207 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Neide da Silva Knihs, Juliana Balbinot Reis Girondi, Keyla Cristiane do Nascimento, Lúcia Nazareth Amante, Maria Lígia dos Reis Bellaguarda, Luciara Fabiane Sebold +2 more
2021· article· en· Journal of Nursing Education and Practice· Medicine
Solange Fátima Geraldo da Costa, Regina Célia de Oliveira, Gicely Regina Sobral da Silva Monteiro, Maria Andréa Fernandes, Ana Aline Lacet Zaccara, Gilvânia Smith da Nóbrega Morais +2 more
2016· article· en· International Archives of Medicine· Medicine
Rafaela de Morais Cavalcanti Ralph, Nauã Rodrigues de Souza, Eudanusia Guilherme de Figueiredo, Daniela de Aquino Freire, Thaís da Silva Oliveira, Careli Pereira Brandão
2023· article· pt· Revista Baiana Saúde Pública· Medicine
Bianca Ferreira Mousinho Rêgo, Camila Araújo Florêncio de Lima, Maria Isabel da Conceição Dias Fernandes, Elisandra de Araújo Saldanha, Ana Luísa Brandão de Carvalho Lira, Allyne Fortes Vítor
2014· article· en· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Medicine
