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.
858 works in the cohort · of 4,299,418page 3 of 18
Labels cover 3 of 858 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 858 of 858 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Anamaria Siriani de Oliveira, Camila Colombo Bermudez, Rodrigo Alves de Souza, Carina Maria Freitas Souza, Elton Matias Dias, Carlos Eduardo dos Santos Castro +1 more
2003· article· pt· Journal of Applied Oral Science· Health Professions
Lucas Bozzetti Pigozzi, Duziene Denardini Pereira, Marcos Pascoal Pattussi, Carmen Moret‐Tatay, Tatiana Quarti Irigaray, João Batista Blessmann Weber +2 more
2021· review· en· Health and Quality of Life Outcomes· Health Professions
Agnieszka Przystańska, Aleksandra Jasielska, Michał Ziarko, Małgorzata Pobudek-Radzikowska, Zofia Maciejewska-Szaniec, Agata Prylińska-Czyżewska +3 more
2019· article· en· BioMed Research International· Health Professions
