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 3 of 3
Labels cover 2 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.
Lee Zhang, Hiroshi Tanaka, Lukas Schneider, Sofia Martinez, Ananya Kulkarni
2021· article· International Journal of Scientific Research in Computer Science Engineering and Information Technology· Business, Management and Accounting
Lee Zhang, Hiroshi Tanaka, Lukas Schneider, Sofia Martinez, Ananya Kulkarni
2021· article· International Journal of Scientific Research in Computer Science Engineering and Information Technology· Business, Management and Accounting
