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.
1,283 works in the cohort · of 4,299,418page 17 of 26
Labels cover 2 of 1,283 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 1,283 of 1,283 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Robert E. Blackshaw, Christopher Preston, J. H. Watts, N. D. Crossman
2006· article· en· 15th Australian Weeds Conference, Papers and Proceedings, Adelaide, South Australia, 24-28 September 2006: Managing weeds in a changing climate.· Agricultural and Biological Sciences
2004· article· de· Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture)· Agricultural and Biological Sciences