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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20032025
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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.
134 works in the cohort · of 4,299,418page 3 of 3
Labels cover 1 of 134 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 134 of 134 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Fabiana T. Almeida, André Ferreira Leite, Paulo Tadeu de Souza Figueiredo, Pollyanna Almeida Costa dos Santos, Érica Carine Campos Caldas Rosa, Juliana F. Mazzeu +4 more
2020· article· en· Clinical Oral Investigations· Medicine
Kelly Guedes de Oliveira Scudine, Camila Nobre de Freitas, Kizzy Silva Germano Nascimento de Moraes, Daniela Almeida Prado, Patrícia Pelufo Silveira, Paula Midori Castelo
2022· article· en· Clinical Oral Investigations· Health Professions
Vanessa Haguihara Lucchesi, Ana Paula Oliveira Giorgetti, Mônica Grazieli Corrêa, Vanessa Gallego Arias Pecorari, Bruno Braga Benatti, Howard C. Tenenbaum +3 more
Cristina Helena Morello Sartori, Thais Mazzetti, Fernando Antônio Vargas Júnior, Ândrea Daneris, Maximiliano Sérgio Cenci, Françoise Hélène van de Sande +1 more
2023· article· en· Clinical Oral Investigations· Medicine