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.
20 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 20 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 20 of 20 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Luisa G. Lira-Juarez, Ariadna Domínguez-García, Andrés Y. Regalado-Mustafá, Elba C. Santiago-de la Cruz, Maria A.G. Medrano-Delgado, Francisco D. Ascencio-Sanchez +2 more
2024· article· en· Revista de Fomento Social· Medicine
Sergio A. Rodríguez-Castillo, Fernando Cortés-Enríquez, Estefanía Gónzalez-Alcaraz, Haydé G. Guzmán-Barajas, Elizabeth Sarmiento-Lizárraga, Danya L. Durán-Humbert
2024· article· en· Revista de Fomento Social· Medicine
Beatriz Chávez‐Luévanos, Denisse Martínez-Roque, Sergio A. Castillo‐Torres, Jesús D. Meléndez‐Flores, Abril T. Morales-Chapa, Laura Alvarado-Leyva +1 more
2025· article· en· Revista de Fomento Social· Medicine