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
20102025
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.
533 works in the cohort · of 4,299,418page 8 of 11
Labels cover 0 of 533 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 533 of 533 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Aline Cristina Helfenstein, Douglas Fernando Batista Neis, Elielza Camargo Souza, Flávia Regina Alves de Hungria Folador, Marlene Valério dos Santos Arenas, Valmir Batista Prestes de Souza
2020· article· en· International Journal of Business Administration· Social Sciences
José de Jesus Sousa Lemos, Filomena Nádia Rodrigues Bezerra, Elizama Cavalcante de Paiva, Antonia Leudiane Mariano Ipólito, Érika Costa Sousa, João da Costa Filho
2024· article· en· International Journal of Business Administration· Environmental Science
Douglas Fernando Batista Neis, Flávia Regina Alves de Hungria Folador, Danielle Freire Azevedo Silva da Costa, Camila Marques de Lima, Fábio Leite Dias, Gleimíria Batista da Costa Matos
2021· article· en· International Journal of Business Administration· Business, Management and Accounting
Francisco José da Silva Tabosa, Pablo Urano de Carvalho Castelar, José Eustáquio Ribeiro Vieira Filho, Domingos Isaías Maia Amorim, Maria Josiell Nascimento da Silva
2021· article· en· International Journal of Business Administration· Agricultural and Biological Sciences