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.
7 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 7 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 7 of 7 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Kelli Carneiro de Freitas Nakata, Cristiane Rocha de Oliveira, Diana Lima dos Santos, Grasiela Martins da Silva, Leitão Marques, Maria Cristina de Camargo +2 more
2024· article· pt· Jornal de Assistência Farmacêutica e Farmacoeconomia· Medicine
Glenda Laíssa Oliveira de Melo Candeia, Rayanne Vitória Oliveira da Costa Tavares, Aracelly França Luis, Alba Tatiana Serafim do Nascimento Dimech, José Arimatea Rocha Filho
2017· article· pt· Jornal de Assistência Farmacêutica e Farmacoeconomia· Computer Science