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.
Results by year
20172025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
75 works in the cohort · of 4,299,418page 1 of 2
Labels cover 2 of 75 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 75 of 75 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Marta Pérez‐de‐Heredia‐Torres, Elisabet Huertas‐Hoyas, Carlos Sánchez‐Camarero, Nuria Máximo-Bocanegra, Jorge Ayala, Patricia Sánchez-Herrera-Baeza +4 more
2020· article· en· European Journal of Physical and Rehabilitation Medicine· Medicine
Pablo Rodríguez Sánchez-Laulhé, Ángela Biscarri-Carbonero, Alejandro Suero-Pineda, Luis Gabriel Luque Romero, Francisco J. BARRERO GARCÍA, Jesús Blanquero +1 more
2023· article· en· European Journal of Physical and Rehabilitation Medicine· Medicine