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
20002025
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.
595 works in the cohort · of 4,299,418page 2 of 12
Labels cover 4 of 595 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 595 of 595 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Héctor Alejandro Paredes, Luis Enrique Barreno Benavides, Marco López-Paredes
2019· book-chapter· es· Fondo Editorial Universitario Servando Garcés de la Universidad Politécnica Territorial de Falcón Alonso Gamero / Alianza de Investigadores Internacionales S.A.S. eBooks· Economics, Econometrics and Finance
Miguel Fernando Inga-Ávila, Roberto Líder Churampi-Cangalaya, Jesús Ulloa-Ninahuamán, José Luis Inga-Ávila, Marilú Uribe-Hinostroza, Miguel Ángel Inga-Aliaga +1 more
2023· article· en· International Journal of Data and Network Science· Economics, Econometrics and Finance