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.
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20172025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
857 works in the cohort · of 4,299,418page 8 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.
Amjad Ghazi AL-Habashneh, Khaleel Ibrahim Al-Daoud, Badrea Al Oraini, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Omar Amjad Al-Habashneh +1 more
2025· article· en· International Journal of Data and Network Science· Business, Management and Accounting
Azlina Abu Bakar, Nurul Ain Hidayah Abas, Tengku Sarina Aini Tengku Kasim, Jumadil Saputra, Raja Zirwatul Aida Raja Ibrahim, Mazidah Mohd Dagang +1 more
2022· article· en· International Journal of Data and Network Science· Health Professions
Jassim Ahmad Al-Gasawneh, Jawad A.AL-Dalaeen- Al-Balqa, Mohammad A Hasan, Ayat Mazin Al. Mahmoud, Ghada Hammad Al-Rawashdeh, Ibrahim Lewis Mukattash +1 more
2023· article· en· International Journal of Data and Network Science· Computer Science