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.
83 works in the cohort · of 4,299,418page 2 of 2
Labels cover 0 of 83 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 83 of 83 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Thais Alves de Oliveira, Victor Zanetti Drumond, Anna Carolina Rye Sato Kimura, José Alcides Almeida de Arruda, Sharat Chandra Pani, Ricardo Alves Mesquita +2 more
2024· review· en· Special Care in Dentistry· Medicine
María Aparecida de Andrade Moreira Machado, Eloá Cristina Passucci Ambrósio, Mayara Bringel, Eduardo Buozi Moffa, Walter L. Siqueira, Thaís Marchini de Oliveira
2022· article· en· Special Care in Dentistry· Biochemistry, Genetics and Molecular Biology
João Paulo Gonçalves de Paiva, Sebastião Silvério Sousa‐Neto, Mario Humberto, Marco Magalhaes, Justin Bubola, José Narciso Rosa Assunção Júnior +7 more
2025· review· en· Special Care in Dentistry· Medicine