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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20042025
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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.
73 works in the cohort · of 4,299,418page 1 of 2
Labels cover 2 of 73 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 73 of 73 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Milena Lima de Moraes, Daniela Maria de Paula Ramalho, Karina Neves Delogo, Pryscila Fernandes Campino Miranda, Eliene Denites Duarte Mesquita, Hedi Marinho de Melo Guedes de Oliveira +6 more
2014· article· en· Jornal Brasileiro de Pneumologia· Nursing
Claudio André Barbosa de Lira, Fábio C. Minozzo, Bolivar Saldanha Sousa, Rodrigo Luiz Vancini, Marília Santos Andrade, Abrahão Augusto Juviniano Quadros +2 more
2013· article· en· Jornal Brasileiro de Pneumologia· Medicine
André Luís Pereira de Albuquerque, Danilo Cortozi Berton, Eloara V.M. Ferreira, Fernando José Pinho Queiroga-Júnior, Alfredo Nicodemos Cruz Santana, Bruno de Moraes Santos Wong +3 more
2024· article· en· Jornal Brasileiro de Pneumologia· Medicine
Luziélio Alves Sidney Filho, Tiago Machuca, José de Jesus Peixoto Camargo, José Carlos Felicetti, Spencer Marcantônio Camargo, Fabíola Adélia Perin +2 more
2012· letter· pt· Jornal Brasileiro de Pneumologia· Medicine