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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20012025
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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.
60 works in the cohort · of 4,299,418page 1 of 2
Labels cover 0 of 60 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 60 of 60 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Michel Michaelovitch de Mahiques, Márcia Caruso Bı́cego, Ilson Carlos Almeida da Silveira, Silvia Helena de Mello e Sousa, Rafael André Lourenço, Marina Midori Fukumoto
2005· article· en· Anais da Academia Brasileira de Ciências· Earth and Planetary Sciences
Valdecy Aparecida Rocha da Cruz, Natália Vinhal Grupioni, Gabriela Geraldi Mendonça, Guilherme Costa Venturini, Mônica Corrêa Ledur, J. de O. Peixoto +1 more
2020· article· pt· Anais da Academia Brasileira de Ciências· Agricultural and Biological Sciences
ROMILDO LUCIANO DA SILVA, Francisco Luís Almeida Paes, Sandra Maria Souza da Silva, F.G.A. Santos, Eduarda Santos de Santana, Jacinto da Costa Silva Neto
2025· article· en· Anais da Academia Brasileira de Ciências· Medicine
Beatriz Helena Brugnaro, Camila Resende Gâmbaro Lima, Isabelle Gansella Rocha da Costa, Gesica Fernandes, Ana Carolina de Campos, Peter Rosenbaum +2 more
2024· article· en· Anais da Academia Brasileira de Ciências· Psychology