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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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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Biomedical Text Mining and Ontologies
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,581 results · 1 filter active ·
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20002025
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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.
1,581 works in the cohort · of 4,299,418page 12 of 32

Labels cover 8 of 1,581 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 1,581 of 1,581 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
FIDEO: Food Interactions with Drugs Evidence Ontology
Georgeta Bordea, Jean Noël Nikiema, Romain Griffier, Thierry Hamon, Fleur Mougin
2020· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affunlabeled
Recognizing UMLS Semantic Types with Deep Learning
Isar Nejadgholi, Kathleen Fraser, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine
2019· article· en· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Filtering for medical news items
Carolyn Watters, Wanhong Zheng, Evangelos Milios
2002· article· en· Proceedings of the American Society for Information Science and Technology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
6
citations
venueno affno abstractunlabeled
TAC SRIE 2018: Extracting Systematic Review Information with MedaCy.
Andriy Mulyar, Darshini Mahendran, Luke Maffey, Amy L. Olex, Grant Matteo, Neha Dill +2 more
2018· article· en· Theory and applications of categories· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A metadata framework for computational phenotypes
Henry M. Spotnitz, Nripendra Acharya, James J. Cimino, Shawn N. Murphy, Bahram Namjou, Nancy A. Crimmins +22 more
2023· article· en· JAMIA Open· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Robot ontologies for sensor- and Image-guided surgery
Tamás Haidegger, Marcos Barreto, Paulo Gonçalves, Maki K. Habib, S. Veera Ragavan, Howard Li +3 more
2013· article· en· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Mapping the linguistic context of citations
Marc Bertin, Iana Atanassova, Vincent Larivière, Yves Gingras
2015· article· en· Bulletin of the Association for Information Science and Technology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaresearchconsensus · none
5
citations
affno abstractunlabeled
A Logical Framework for Modelling Breast Cancer Progression
Joëlle Despeyroux, Amy Felty, Píetro Lió, Carlos Olarte
2019· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About