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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20092025
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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.
3,622 works in the cohort · of 4,299,418page 7 of 73
Labels cover 2 of 3,622 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 3,622 of 3,622 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
José Carlos Mazetto Júnior, José Luiz Rodrigues Torres, Danyllo Denner de Almeida Costa, Venâncio Rodrigues e Silva, Zigomar Menezes de Souza, Ernane Miranda Lemes
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Daiane Conceição de Sousa, João Carlos Medeiros, Julian Júnio de Jesus Lacerda, Jaqueline Dalla Rosa, Cácio Luiz Boechat, Maria de Nazaré Gomes de Sousa +3 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Victor Roberto Ribeiro Reis, Luciano Cavalcante Muniz, Marlen Barros e Silva, Carlos Augusto Rocha de Moraes Rego, Uelson Serra Garcia, Ilka South de Lima Cantanhêde +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Ícaro Vasconcelos do Nascimento, Raimundo Nonato de Assis Júnior, José Carlos de Araújo, Thiago Leite de Alencar, Alcione Guimarães Freire, Márcio Godofrêdo Rocha Lobato +3 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences