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.
41 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 41 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 41 of 41 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Fernando Carrasco Ferreira Dionisio, Larissa Santos Oliveira, Mateus de Andrade Hernandes, Edgard Eduard Engel, Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo‐Marques +1 more
2020· article· en· Brazilian Journal of Medical and Biological Research· Medicine
Allice Santos Cruz Veras, Danilo Bianchini Baptista, Nilton José dos Santos, Hayley H. A. Thorpe, Patrícia Monteiro Seraphim, A.R. Florido Neto +1 more
2020· article· en· Brazilian Journal of Medical and Biological Research· Medicine
Taís Regina da Silva, Gustavo José Luvizutto, Luiz Paulo Oliveira Martins, Rafael Dalle Molle da Costa, Juli Thomaz de Souza, Fernanda Cristina Winckler +21 more
2023· article· en· Brazilian Journal of Medical and Biological Research· Neuroscience
Tamiris de Fátima Goebel de Souza, Taiana M. Pierdoná, Fernanda Soares Macêdo, Pedro Everson Alexandre de Aquino, Gisele F. P. Rangel, Rebeca Silva Duarte +7 more
2021· article· en· Brazilian Journal of Medical and Biological Research· Medicine