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.
856 works in the cohort · of 4,299,418page 7 of 18
Labels cover 4 of 856 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 856 of 856 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Júlia Nogueira Treib, Ana María Müller de Magalhães, Silvia Cristina Garcia Carvalho, Victória Gabech Seeger, Amanda da Silveira Barbosa, João Lucas Campos de Oliveira
2022· article· pt· Escola Anna Nery· Health Professions
Andressa Martins Dias Ferreira, João Lucas Campos de Oliveira, Kelly Cristina Inoue, Ingrid Mayara Almeida Valera, Viviani Camboin Meireles, Laura Misue Matsuda
2017· article· pt· Revista de Enfermagem UFPE on line· Health Professions
Ofelia Poblano Verástegui, Alma Lucila Sauceda Valenzuela, Ángel Galván García, José De Jesús Vértiz Ramírez, Raúl Anaya Núñez, José Ignacio Santos Preciado +2 more
2023· article· es· Revista Panamericana de Salud Pública· Health Professions
