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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20042025
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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.
63 works in the cohort · of 4,299,418page 1 of 2
Labels cover 8 of 63 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 63 of 63 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Alfonso J. Rodríguez‐Morales, Dayron Fernando Martínez-Pulgarín, Marcela Muñoz-Urbano, Daniela Gómez-Suta, Jorge A. Sánchez‐Duque, Jorge Enrique Machado‐Alba
William Castillo‐González, Hector Julio Piñera-Castro, Adrián Alejandro Vitón-Castillo, Carlos Oscar Lepez, Javier González‐Argote, Mabel Cecilia Bonardi +1 more
2022· article· en· EAI Endorsed Transactions on Pervasive Health and Technology· Computer Science
