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.
274 works in the cohort · of 4,299,418page 2 of 6
Labels cover 0 of 274 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 274 of 274 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Carlos Ricardo Villanueva-Partida, Fernando Casanova‐Lugo, Noel Antonio González-Valdivia, Gilberto Villanueva‐López, Iván Oros-Ortega, William Cetzal‐Ix +1 more
2017· article· en· Agroforestry Systems· Agricultural and Biological Sciences
Reginaldo Antônio Medeiros, Carlos Alberto Ramos Domiciano, Vitor Leseux, Álvaro Augusto Vieira Soares, Antonio A. Tsukamoto Filho, Fulvianny C. Silva +1 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Jocilaine Garcia, Claudete Regina Alcalde, Maximiliane Alavarse Zambom, Elias Nunes Martins, Clóves Cabreira Jobim, Sandra Regina Dias Ferreira Andrade +1 more
2004· article· pt· Revista Brasileira de Zootecnia· Agricultural and Biological Sciences
Marcos Odilon Dias Rodrigues, Antônio Clementino dos Santos, Otacílio Silveira Júnior, Leonardo Bernardes Taverny de Oliveira, Raimundo Laerton de Lima Leite
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences