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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20152024
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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.
10 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 10 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 10 of 10 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Mateo Porres‐Aguilar, María Cristina Guerrero-de León, Flavio Adrián Grimaldo-Gómez, Raúl Izaguirre-Ávila, Alfredo Cabrera-Rayo, Luis E. Santos-Martínez +3 more
Raúl Carrillo-Esper, Rebeca E. Melgar Bieberach, Mauricio Tapia-Salazar, Sarahi A. Jacinto-Flores, Ángela N. Campa-Mendoza, Ángel Augusto Pérez-Calatayud +4 more
Pamela S. Espinoza-Loyola, Luis J. Fernández-López, Paul S. Mogrovejo-Vázquez, Fernando Mondragón-Rodríguez, José A. González-Moreno, Daniel A. Torres-Del Real +7 more
Jorge Armando Barriguete Meléndez, Ana Pérez-Bustinzar, Rocío Ivonne de la Vega-Morales, José Ángel Córdova-Villalobos, Jorge Manuel Sánchez-González, Paola Barriguete-Chávez Peón +1 more