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
20012019
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.
77 works in the cohort · of 4,299,418page 1 of 2
Labels cover 0 of 77 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 77 of 77 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ana Paula Amaral de Alcântara Salim, Surendranath P. Suman, Anna Carolina Vilhena da Cruz Silva Canto, Bruno R.C. Costa-Lima, Fernanda Medeiros Viana, Maria Lúcia Guerra Monteiro +2 more
2018· article· en· Asian-Australasian Journal of Animal Sciences· Agricultural and Biological Sciences