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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20002025
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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.
371 works in the cohort · of 4,299,418page 2 of 8
Labels cover 1 of 371 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 371 of 371 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Ajay Kumar Mishra, Aditya John Binu, George Abraham, Harshad Arvind Vanjare, Tina George, Ramya Iyadurai
2018· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
Mariana Santos Matias, Bruna Barbosa de Sousa, Déborah Fernanda da Cunha Pereira, Edigar Henrique Vaz Dias, Carla Cristine Neves Mamede, Mayara Ribeiro de Queiroz +5 more
2017· article· en· The Journal of venomous animals and toxins including tropical diseases· Biochemistry, Genetics and Molecular Biology
