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 2 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.
Laryssa de Castro Oliveira, Vitória Marega Marchetti, Fernanda de Souza e Silva Ramos, Alberto Carlos Botazzo Delbem, Marina Trevelin Souza, Bernhard Ganss +2 more
Marco Tulio Rossi, Murilo Navarro de Oliveira, Maria Tereza Campos Vidigal, Walbert de Andrade Vieira, Cristiano Elias Figueiredo, Cauane Blumenberg +5 more
Mayara Sabrina A. Rodrigues, Raquel Silva do Nascimento, Ricardo Roberto de Souza Fonseca, Gláucia Caroline Silva‐Oliveira, Luiz Fernando Almeida Machado, Emil Kupek +2 more
2020· article· en· Clinical Oral Investigations· Medicine
Stella Maris de Freitas Lima, Mirna S. Freire, Ana Paula de Castro Cantuária, Danilo César Mota Martins, Ingrid Aquino Amorim, Elaine Maria Guará Lôbo Dantas +13 more
Camilla Vieira Esteves, Wladimir Gushiken de Campos, Juliana Amorim dos Santos, Solange Kobayashi Velasco, Eliete Neves Silva Guerra, Walter L. Siqueira +1 more
2019· review· en· Clinical Oral Investigations· Medicine