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.
708 works in the cohort · of 4,299,418page 10 of 15
Labels cover 2 of 708 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 708 of 708 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Fernanda Cristina Kandalski Bortolotto, Stephane Pini Costa Ceccoti, Paloma Bianca Orso, Hanna Lethycia Wolupeck, Richard A. Holley, Fernando Bittencourt Luciano +1 more
2018· article· en· Ciência Rural· Agricultural and Biological Sciences
V. R. de O. Lopes, Suzan Kelly Vilela Bertolucci, Alexandre Alves de Carvalho, Heitor Luiz Heiderich Roza, Felipe Campos Figueiredo, José Eduardo Brasil Pereira Pinto
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Ana Carolina Ferreira Soares, Priscilla Mendonça Matos, Herbert Júnior Dias, Gabriela de Paula Aguiar, Eliene Silvério dos Santos, Carlos Henrique Gomes Martins +3 more
2019· article· en· Canadian Journal of Chemistry· Agricultural and Biological Sciences
María del Socorro Jutinico Fernández, Flavio Hernández-Ochoa, Óscar Carmona-Hernández, Mauricio Luna‐Rodríguez, Carolina Barrientos‐Salcedo, Hugo Asselin +1 more
2020· article· es· Revista mexicana de fitopatología(en línea)/Revista mexicana de fitopatología· Agricultural and Biological Sciences