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.
Results by year
20112025
Publication date
Categories
Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
18 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 18 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 18 of 18 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Marilise de Andrade Paraízo, Ana Laura Maciel Almeida, Leopoldo Antônio Pires, Renata Abrita, Mary Hellen Teixeira Crivellari, Beatriz dos Santos Pereira +2 more
2016· article· en· Brazilian Journal of Nephrology· Medicine
Beatriz Moreira Silva, Letícia Cristina Silva De Assis, Maurício De Castro Batista Júnior, Naara Affonso Philipps Gonzalez, Samuel Benni Dos Anjos, Miguel Ângelo Góes
2022· review· en· Brazilian Journal of Nephrology· Medicine
Leopoldo Antônio Pires, Ana Laura Maciel Almeida, Marilise de Andrade Paraízo, José Otávio do Amaral Corrêa, Débora dos Santos Dias, Neimar da Silva Fernandes +3 more
2022· article· en· Brazilian Journal of Nephrology· Medicine
Beatriz Moreira Silva, Letícia Cristina Silva De Assis, Maurício De Castro Batista Júnior, Naara Affonso Philipps Gonzalez, Samuel Benni Dos Anjos, Miguel Ângelo Góes
2022· article· pt· Brazilian Journal of Nephrology· Medicine