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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20202024
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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.
9 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 9 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 9 of 9 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Aurelia Maria Pessoa Silva de Oliveira, Elisângela Vilar de Assis, Pollianna Marys de Souza e Silva, Ubiraídys de Andrade Isidório, Marta Lígia Vieira Melo
2020· article· pt· Revista interdisciplinar em saúde· Health Professions
Larissa Dantas Magalhães, Kelli Costa Souza, Ankilma do Nascimento Andrade Feitosa, Rodolfo Abrel Carolino, Renata Braga Rolim Vieira, Igor Gabriel de Sousa
2023· article· pt· Revista interdisciplinar em saúde· Health Professions
Clara Bhertyne Pinheiro Romão, Rafaela Costa de Holanda, Samara Albuquerque de Souza, Layana Oliveira de Abreu, Marcos Alexandre Casimiro de Oliveira, Clarissa Lopes Drumond
2021· article· pt· Revista interdisciplinar em saúde· Dentistry
Daiane Mendes Rodrigues, Ezaque Saraiva do Nascimento, Juliana Maria Bello Jastrow, Larissa Carolynne da Silva Mendes, Mauro José de Deus Morais, Francisco Naildo Cardoso Leitão
2022· article· pt· Revista interdisciplinar em saúde· Health Professions