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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20052025
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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.
162 works in the cohort · of 4,299,418page 2 of 4
Labels cover 1 of 162 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 162 of 162 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Caroline Cechinel‐Peiter, Franciely Daiana Engel, Ana Lúcia Schaefer Ferreira de Mello, Diovane Ghignatti da Costa, Maria Fernanda Baeta Neves Alonso da Costa, Gabriela Marcellino de Melo Lanzoni +5 more
2024· article· pt· Texto & Contexto - Enfermagem· Social Sciences
Caroline Cechinel‐Peiter, Franciely Daiana Engel, Ana Lúcia Schaefer Ferreira de Mello, Diovane Ghignatti da Costa, Maria Fernanda Baeta Neves Alonso da Costa, Gabriela Marcellino de Melo Lanzoni +5 more
2024· article· en· Texto & Contexto - Enfermagem· Social Sciences
Samantha Longman-Mills, Yolanda Maria González Williams, Marlon Osman Meléndez Rodríguez, Monica Rosaura García Baquero, Juan Daniel Gómez Rojas, Cristina Juárez de Amaya +4 more
Neide da Silva Knihs, Ariadne Matzembacher da Silva, Juliana dos Santos, Rosi Meri da Silva, Sibele Maria Schuantes Paim, Vanessa Silva e Silva +2 more
2022· article· pt· Texto & Contexto - Enfermagem· Medicine