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 36 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.
Erivanessa C. Sousa, Janete Rodrigues Matias, Juliana P. Pamplona, Sara M. C. Carvalho, Hélida Campos de Mesquita, Fernando Sarmento de Oliveira +3 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Ronice Alves Veloso, Talita Pereira de Souza Ferreira, Daniel Debona, Raimundo Wagner de Souza Aguiar, Alex Sander Rodrigues Cangussu, Aloísio Freitas Chagas Júnior +1 more
2018· article· en· Journal of Agricultural Science· Materials Science
Jackson de Mesquita Alves, Alex Serafim de Lima, Cesenildo de Figueiredo Suassuna, Francisco Romário Andrade Figueiredo, Toshik Iarley da Silva, Evandro Franklin de Mesquita +2 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Jailton Garcia Ramos, Vera Lúcia Antunes de Lima, Eliton S. G. Santos, Gibran O. de Medeiros, Mariana de Oliveira Pereira, Rafaela Félix Basílio Guimarães +3 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
