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.
854 works in the cohort · of 4,299,418page 8 of 18
Labels cover 1 of 854 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 854 of 854 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Cecília Leão Pereira Resende, Leandro Ferreira Damaso, Mylla Crysthyan Ribeiro Ávila, Daniel Diego Costa Carvalho, P. G. S. Melo, Fabrício Ávila Rodrigues
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
Michelle Nunes Barcelos, Reginaldo de Camargo, Regina Maria Quintão Lana, Uirá do Amaral, Leandro Coelho de Araújo, Marcelo Carvalho Minhoto Teixeira Filho +1 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
