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.
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
554 works in the cohort · of 4,299,418page 6 of 12
Labels cover 0 of 554 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 554 of 554 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Elny Alves Onias, Railene Hérica Carlos Rocha Araújo, Thaís Batista de Queiroga, Albert E. M. de M. Teodosio, Eliane Alves Onias, Ana Paula Nunes Ferreira +4 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Helena Mira, Maria Norberta de Pinho, A. Jorge Guiomar, Vı́tor Geraldes
2017· article· en· Repositório Científico do Instituto Politécnico de Santarém (Instituto Politécnico de Santarém)· Agricultural and Biological Sciences
Alex Guimarães Sanches, Maryelle Barros da Silva, Thiago Feliph Silva Fernandes, Vanessa Maria Dantas Pedrosa, María Carolina Cásares, Priscila Lupino Gratão +1 more
2022· article· en· Journal of the Science of Food and Agriculture· Agricultural and Biological Sciences
