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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20122025
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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.
45 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 45 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 45 of 45 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Thyago Antonelli-Salgado, Luís Francisco Ramos-Lima, Cristiane dos Santos Machado, Ryan M. Cassidy, Taiane de Azevedo Cardoso, Flávio Kapczinski +1 more
2021· review· en· Trends in Psychiatry and Psychotherapy· Psychology
Natasha Kim de Oliveira da Fonseca, Marianna de Abreu Costa, Natan Pereira Gosmann, Roberta Dalle Molle, Francine Guimarães Gonçalves, Alice Cardozo Silva +3 more
2022· article· en· Trends in Psychiatry and Psychotherapy· Psychology
Tharso de Souza Meyer, Vera Lúcia Marques de Figueiredo, Eric A. Youngstrom, Taiane de Azevedo Cardoso, Jaciana Marlova Gonçalves Araújo, Thaíse Campos Mondin +3 more
2022· article· en· Trends in Psychiatry and Psychotherapy· Medicine
Bárbara Tietbohl-Santos, Bruno Braga Montezano, Taiane de Azevedo Cardoso, Thaíse Campos Mondin, Fernanda Pedrotti Moreira, Luciano Dias de Mattos Souza +4 more
2024· article· en· Trends in Psychiatry and Psychotherapy· Medicine
