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
20142023
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.
17 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 17 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 17 of 17 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Alarico Gonçalves Nascimento Filho, Jandecy Cabral Leite, Manoel Henrique Reis Nascimento, Jorge de Almeida Brito, Carlos Alberto Oliveira de Freitas, Rafael Teles Rocha
2019· article· en· International Journal for Innovation Education and Research· Computer Science
Naiara Lima Pereira, Mirelly Tavares Feitosa Pereira, Gisele de Souza Costa, André Luiz Machado das Neves, Izaura Rodrigues Nascimento, Zilmar Augusto de Souza Filho
2019· article· en· International Journal for Innovation Education and Research· Social Sciences