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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20072022
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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.
86 works in the cohort · of 4,299,418page 1 of 2
Labels cover 0 of 86 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 86 of 86 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Nataly A. Reyes-Sanabria, María Ximena Rodríguez-Bocanegra, Cristobal Ladino-Várgaz, Oscar J. Patiño-Ladino, Natalia Viviana Bogotá, Juliet A. Prieto-Rodríguez
2022· article· es· Revista Productos Naturales· Agricultural and Biological Sciences
Laura K. Rodríguez-Sánchez, Oscar J. Patiño-Ladino, Juliet A. Prieto-Rodríguez, Xavier Marquínez-Casas, Wilman A. Delgado-Avila, Luís Enrique Cuca Suárez
2022· article· es· Revista Productos Naturales· Pharmacology, Toxicology and Pharmaceutics
Jenny Paola Ortega-Barbosa, A.M. López-Villamizar, A.D. Argueta Del Valle, Diego Ballesteros-Vivas, Mario Fernando Mosquera, A.M. Hurtado Benavides +4 more
2022· article· es· Revista Productos Naturales· Agricultural and Biological Sciences
