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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.

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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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Semantic Web and Ontologies
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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.

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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.

1,983 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.
1,983 works in the cohort · of 4,299,418page 38 of 40

Labels cover 1 of 1,983 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 1,983 of 1,983 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
TrendMD: An academic content discovery platform.
Paul Kudlow, Günther Eysenbach
2014· article· en· Medical Informatics Europe· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Ontologies and Knowledge-Based Systems
David Poole, Alan K. Mackworth
2010· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Contributions of OBIS and GOOS to CBD and BBNJ
Dan Lear, Katherine Tattersall, Ward Appeltans, Karen Evans, Gabrielle Canonico, Ana Lara-López
2025· preprint· en· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Semantic Enrichment of Data through Knowledge Graph Generation
Shyam Sundaram, Osamah Ibrahim Khalaf, Rajeshkannan Regunathan, Animesh verma, Siddhesh Fuladi, Prateek Balaji +2 more
2024· preprint· en· Research Square· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Interoperation of Knowledge Domain Taxonomies Using Ontology Mappings
Jerry Li, Dragan Gašević, John C. Nesbit, Griff Richards
2005· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introducing the Initiative for Open Abstracts (I4OA)
Helen Duce, Ginny Hendricks, Bianca Kramer, Vincent Larivière, Catriona MacCallum, Cameron Neylon +6 more
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
fundno affunlabeled
Frontmatter
Maxim Likhachev, Hana Rudová, Enrico Scala
2025· article· en· Proceedings of the International Symposium on Combinatorial Search· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Knowledge Networks
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
FRBR and Models of Semantic Cognition
David G. Campbell
2018· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Community Discovery
2014· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OA at Concordia University
Peter Suber
2008· preprint· en· Computer Science
machine prediction:candidate · scholarly_communication+open_science+insufficient_payloadconsensus · none
0
citations
affunlabeled
Les ontologies : Construction, Alignement et utilisation
Djamal Benslimane, Faı̈ez Gargouri, Pierre Bourque
2009· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Semantics for Transport 2025 – Sem4Tra
Shahrom; id_orcid 0009-0000-0735-1645 Sohi, Julian Rojas, Pieter Colpaert, Ghislain Atemezing, Mersedeh Sadeghi, Cornelis Bouter
2025· article· en· WU Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Proceedings of the Joint Ontology Workshops 2023 (JOWO 2023)
Fumiaki Toyoshima, Megan Katsumi, Emilio M. Sanfilippo, Guendalina Righetti, Stefano De Giorgis, Maria M. Hedblom +24 more
2023· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Joint Proceedings of the Onto4FAIR 2023 Workshops: Collocated with 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) and 19th International Conference on Semantic Systems (SEMANTICS 2023)
Luiz Olavo Bonino da Silva Santos, Giancarlo Guizzardi, Clément Jonquet, Megan Katsumi, Emilio M. Sanfilippo, Jennifer D’souza +1 more
2023· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ISO/IEC 19788-1: A metadata framework
Yolaine Bourda, Gilles Gauthier, Liddy Nevile, Yong-Sang Cho
2023· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Vers une normalisation RDF
R Herrera
2016· article· fr· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Special Issue on TSL Conference 2023
Sibel A. Alumur, Mike Hewitt
2025· article· en· Transportation Science· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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