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.
440 works in the cohort · of 4,299,418page 6 of 9
Labels cover 1 of 440 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 440 of 440 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Narhla Kélvia Costa da Silva, Rosivan Nunes Guimarães, Adrián Padilla Fernández, Carla Araújo Bastos Teixeira, Bárbara Almeida Soares Dias, Paulo Sérgio da Silva +1 more
Gleidilene Freitas da Silva, Nayara Kalila dos Santos Bezerra, Thalyta Ketlen de Melo Oliveira, Natália Carvalho Barbosa de Sousa, Jádila Tainá dos Santos Oliveira, Sara Suerda Lopes Oliveira +2 more
Aline Clara da Silva Sá, Lucas Bezerra da Silva, Maria Eduarda Sousa Araújo Cavalcante, Paula Adalgisa de Brito Borges, Raviecky Alves Rocha Ferraz, Diego Christian Gaspar +2 more
Maria Vitória dos Santos, Ana Paula França Costa, Gleidilene Freitas da Silva, Iuri Rodrigues Nogueira, Carla Araújo Bastos Teixeira, Cíntia Freitas Casimiro +2 more
Deyslianne Kalynne Batista de Sousa, Elissandra Dias de França, Fabíola Barbosa Dantas, Kélio Morais dos Reis, Luisy Gabrielle de Oliveira Trindade, Regina Márcia Soares Cavalcante