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.
208 works in the cohort · of 4,299,418page 2 of 5
Labels cover 0 of 208 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 208 of 208 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Carlos I. Cota-Barreras, Raymundo Saúl García‐Estrada, José Benigno Valdez-Torres, Josefina León‐Félix, Víctor Valenzuela-Herrera, Juan Manuel Tovar‐Pedraza
2022· article· en· Canadian Journal of Plant Pathology· Agricultural and Biological Sciences
Andressa Lacerda Nóbrega Ugulino, Antônio Francisco de Mendonça Júnior, Ana Paula Medeiros dos Santos Rodrigues, Alex Béu Santos, Kevison Rômulo da Silva França, Tiago Augusto Lima Cardoso +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Fabiola Gomes-Silva, Clébia Maria Alves de Almeida, Alexandre Gonçalves Silva, Mariele Porto Carneiro Leão, Karla P. Silva, Márcia Vanusa da Silva +1 more
2017· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences