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
20172025
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.
857 works in the cohort · of 4,299,418page 6 of 18
Labels cover 1 of 857 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 857 of 857 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Mohammad Salameh Almasarweh, Zaid Jawasreh, Yahya Saber Salah Alghasawneh, Mohammed Al Matalka, Mohammad Said Ibrahim Alshuaibi, Nevin Youssef Kalbouneh +1 more
2023· article· en· International Journal of Data and Network Science· Computer Science
Azhar Shater, Abdullah Mohammad Bani-Rshaid, Maram Mohammed Ibrahim Al-Fayoumi, Anwar Saud Al-Shaar, Amani Mohammed Bukhamseen, Mohamad Ahmad Saleem Khasawneh
2023· article· en· International Journal of Data and Network Science· Social Sciences
