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 9 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.
Leila Albuquerque Resende de Oliveira, Milena Nascimento Cardoso, Annie Carolina Araújo de Oliveira, C. de A. Machado, Bruno Trindade Cardoso, Ana Veruska Cruz da Silva +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
João Virgínio Emerenciano Neto, Gelson dos Santos Difante, Ângela Maria Quintão Lana, Nathália Rafaela Fidelis Campos, Emmanuel Lievio de Lima Véras, José Dantas Moraes
2017· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Renato Tonhá Alves Júnior, Evaristo Jorge Oliveira de Souza, Airon Aparecido Silva de Melo, Dulciene Karla de Andrade Silva, Thaysa Rodrigues Torres, Gerfesson Felipe Cavalcanti Perreira +2 more
2017· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences