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.
267 works in the cohort · of 4,299,418page 3 of 6
Labels cover 0 of 267 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 267 of 267 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ausbie Luis Graça Araújo, Amanda Maria de Almeida, João de Jesus Guimarães, Fernando Soares de Cantuário, Leandro Caixeta Salomão, Carmen Rosa da Silva Curvêlo +3 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Evandro Marcos Biesdorf, Alexandre Maniçoba da Rosa Ferraz Jardim, Elivelton Maciel Biesdorf, Angélica Fátima de Barros, Charles de Araújo, Leonardo Duarte Pimentel
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
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