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.
746 works in the cohort · of 4,299,418page 10 of 15
Labels cover 1 of 746 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 746 of 746 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Igor Santana de Melo, Návylla Candeia-Medeiros, Jamylle Nunes Souza de Ferro, Polliane Maria Cavalcante-Araújo, Tales Lyra de Oliveira, C. E. A. Santos +15 more
Julio Plaza‐Díaz, Francisco Javier Ruiz‐Ojeda, Bricia López‐Plaza, Marco Brandimonte‐Hernández, Ana I. Álvarez‐Mercado, Lucía Arcos-Castellanos +4 more
Karina Andrea Ramírez-Sepúlveda, Andrés M. Murillo-Pedrozo, Daniela Zuluaga-Villegas, Kristhel Vasco-Grajales, Adriana Posada‐López, Andrés A. Agudelo‐Suárez
2016· article· en· Global Journal of Health Science· Medicine
