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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20162025
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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.
18 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 18 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 18 of 18 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Giovani V Lago, Thaís Maria Freire Fernandes, Paula Vanessa Pedron Oltramari-Navarro, Márcio Rodrigues de Almeida, Victor de Miranda Ladewig, Ana Cláudia de Castro Ferreira Conti
2018· article· pt· Journal of Health Sciences· Dentistry
Paulo Otávio Carmo Souza, Carolina Ferrari Piloni de Oliveira, Iussif Mamede-Neto, Amin de Macedo Mamede Sulaimen, Pedro Lima, Daniel de Almeida Decúrcio
2018· article· en· Journal of Health Sciences· Dentistry
Andréa Abi Rached Dantas, Vinicius Perassoli Menegazzo, Aryvelto Miranda Silva, João Felipe Besegato, Janaína Freitas Bortolatto, Michael C. Floros +2 more
2021· article· en· Journal of Health Sciences· Dentistry
Mauro Toma, Jéssica Rico Bocato, Carlos Magno Goshi, Thaís Teixeira Borsato, Ana Cláudia de Castro Ferreira Conti, Thaís Maria Freire Fernandes +1 more
2021· article· en· Journal of Health Sciences· Medicine