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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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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.

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.

1,983 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 2 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.

affunlabeled
Ontology, Method, and Hypotheses
Isabella Bakker, Stephen Gill
2003· book-chapter· en· Palgrave Macmillan UK eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Peer data exchange
Ariel Fuxman, Phokion G. Kolaitis, Renée J. Miller, Wang-Chiew Tan
2006· article· en· ACM Transactions on Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
affunlabeled
Putting context into schema matching
Philip Bohannon, Eiman Elnahrawy, Wenfei Fan, Michael Flaster
2006· article· en· Edinburgh Research Explorer (University of Edinburgh)· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affno abstractunlabeled
Evaluation of the OQuaRE framework for ontology quality
Astrid Duque-Ramos, Jesualdo Tomás Fernández‐Breis, Miguela Iniesta, Michel Dumontier, Mikel Egaña Aranguren, Stefan Schulz +2 more
2012· article· en· Expert Systems with Applications· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
fundno affunlabeled
Results of the Ontology Alignment Evaluation Initiative 2007
Caterina Caracciolo, Jérôme Euzenat, Laura Hollink, Ryutaro Ichise, Antoine Isaac, Véronique Malaisé +6 more
2007· preprint· fr· MADOC (University of Mannheim)· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affunlabeled
ATHENA++
Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan, Vasilis Efthymiou, Ayushi Dalmia +4 more
2020· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
affno abstractunlabeled
Validating RDF Data
José Emilio Labra Gayo, Eric Prud’hommeaux, Iovka Boneva, Dimitris Kontokostas
2017· article· en· Synthesis lectures on the semantic web· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
afffundno abstractunlabeled
Interoperability on XML Data
Laks V. S. Lakshmanan, Fereidoon Sadri
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affno abstractunlabeled
The Emergence of Multidimensional Networks
Noshir Contractor
2009· article· en· Journal of Computer-Mediated Communication· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
MDA-based Automatic OWL Ontology Development
Dragan Gašević, Dragan Djurić, Vladan Devedžić
2006· article· en· International Journal on Software Tools for Technology Transfer· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Complex concepts into basic concepts
Rick Szostak
2011· article· en· Journal of the American Society for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
A Novel Ontology for Sensor Networks Data
Mohamad Eid, Ramiro Liscano, Abdulmotaleb El Saddik
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affno abstractunlabeled
SHARE: A Semantic Web Query Engine for Bioinformatics
Ben Vandervalk, Erin McCarthy, Mark D. Wilkinson
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
Rule Interchange on the Web
Harold Boley, Michael Kifer, Paula-Lavinia Pătrânjan, Axel Polleres
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Semantic Web and Big Data meets Applied Ontology
Leo Obrst, Michael Grüninger, Ken Baclawski, Mike Bennett, Dan Brickley, Gary Berg‐Cross +16 more
2014· article· en· Applied Ontology· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
A syntax for rules in OWL 2
Birte Glimm, Matthew Horridge, Bijan Parsia, Peter F. Patel‐Schneider
2009· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations

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