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
20012025
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.
108 works in the cohort · of 4,299,418page 1 of 3
Labels cover 0 of 108 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 108 of 108 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
A. C. T. S. Cougo, Clademir Teixeira, Greicy Sofia Maysonnave, Leonir Luíz Pascoal, Paulo Santana Pacheco, Fabiano Nunes Vaz +2 more
2018· article· pt· 55a Reunião Anual da Sociedade Brasileira de Zootecnia, 28° Congresso Brasileiro de Zootecnia, Goiânia, Brasil, 27 a 30 de agosto de 2018· Agricultural and Biological Sciences
