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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20152025
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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.
33 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 33 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 33 of 33 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Carlos Kazuo Taguchi, Pedro de Lemos Menezes, Amanda Caroline Souza Melo, Leonardo Santos de Santana, Wesley Rayan Santos Conceição, Gabrielle Feitosa de Souza +2 more
Carlos Kazuo Taguchi, Pedro de Lemos Menezes, Amanda Caroline Souza Melo, Leonardo Santos de Santana, Wesley Rayan Santos Conceição, Gabrielle Feitosa de Souza +2 more
Fabíola Schwengber Casarin, Karina Carlesso Pagliarin, Raira Fernanda Altmann, Maria Alice de Mattos Pimenta Parente, Perrine Ferré, Hélène Côté +3 more
Diolen Conceição Barros Lobato, Patrícia Arruda de Souza Alcarás, Denise Maria Vaz Romano França, Cláudia Giglio de Oliveira Gonçalves, Adrián Fuente, Adriana Bender Moreira de Lacerda
2023· article· en· CoDAS· Agricultural and Biological Sciences
Diolen Conceição Barros Lobato, Patrícia Arruda de Souza Alcarás, Denise Maria Vaz Romano França, Cláudia Giglio de Oliveira Gonçalves, Adrián Fuente, Adriana Bender Moreira de Lacerda
