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
20002025
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.
144 works in the cohort · of 4,299,418page 1 of 3
Labels cover 0 of 144 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 144 of 144 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Héctor Eduardo Villaseñor Mir, Eliel Martínez Cruz, René Hortelano Santa Rosa, Miguel González González, Adriana Zamudio Colunga, Julio Huerta‐Espino +1 more
2017· article· es· Revista Mexicana de Ciencias Agrícolas· Agricultural and Biological Sciences
Nora V. Gómez, Daniel J. Miralles, Anita I. Mantese, Yesica Cristina Menendez, Deborah Paola Rondanini
2018· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Agricultural and Biological Sciences