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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20172018
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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.
4 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 4 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 4 of 4 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
María Isabel Silveira-Gramont, María Lourdes Aldana-Madrid, Julián Piri-Santana, Ana Isabel Valenzuela-Quintanar, Graciela Jasa-Silveira, Guillermo Rodríguez‐Olibarria
2018· article· es· Revista Internacional de Contaminación Ambiental· Agricultural and Biological Sciences
Jeiry Toribio-Jiménez, Miguel Ángel Rodríguez Barrera, Giovanni Hernández-Flores, Jesús Carlos Ruvacaba-Ledezma, Mildred Castellanos-Escamilla, Yanet Romero‐Ramírez
2017· article· es· Revista Internacional de Contaminación Ambiental· Agricultural and Biological Sciences
Yanet Romero‐Ramírez, Giovanni Hernández-Flores, Miguel Ángel Rodríguez Barrera, Daniel Segura, Nelda Xanath Martínez-Galero, Jeiry Toribio-Jiménez +2 more
2017· article· es· Revista Internacional de Contaminación Ambiental· Materials Science