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.
882 works in the cohort · of 4,299,418page 12 of 18
Labels cover 1 of 882 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 882 of 882 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Rafael Matias da Silva, Anderli Divina Ferreira Rios, Wilian Henrique Diniz Buso, Alan Soares Machado, Grasiele T. da Silva, Matheus Vinícius Abadia Ventura +3 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Jean Carlos Alekcevetch, André Luiz de Lima Passianotto, Everton Geraldo Capote Ferreira, Adriana Brombini dos Santos, Danielle Cristina Gregório da Silva, W. P. Dias +3 more
2019· preprint· en· Preprints.org· Agricultural and Biological Sciences
Wellington Rodrigues da Silva, Margareth Divers, Giliard S Correia, Sabrina de Oliveira Martins, Jaqueline Tavares Schäfer, Jerônimo Vieira de Araújo Filho +2 more
2023· article· en· Tropical Plant Pathology· Agricultural and Biological Sciences
Glaciela Kaschuk, Lygia Vitória Galli-Terasawa, Kayo Kennedy Albernas, Leticia de Paula Ripka, Isabelle Cristine Pansolin, Caroline de Lima Matos +2 more
2022· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences