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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.

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 27 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
Retrospect and Prospect
David Poole, Alan K. Mackworth
2010· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Authoring Problem-Solving ITS with ASTUS
Jean-François Lebeau, Luc Paquette, André Mayers
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hunter gatherer
m.c. schraefel, Daniel Wigdor, Yuxiang Zhu, David Modjeska
2002· article· en· CHI '02 extended abstracts on Human factors in computer systems - CHI '02· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tools for Ontology Modeling and Visualization.
Simon Suigen Guo, Christine W. Chan, Robert Harrison
2010· article· en· Software Engineering and Knowledge Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Open Economy Ontology (OEO)
Felipe Piccarone Gonçalves Ribeiro
2024· article· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Crossing the [SoTL] Bridge and Diving In
Nicola Simmons
2018· article· en· Teaching & Learning Inquiry The ISSOTL Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Clarifying the Meta
Vladan Devedžić, Dragan Gašević, Dragan Djurić
2008· book-chapter· en· Studies in computational intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction to the Minitrack on Creation and Appropriation of Knowledge Systems
Stefan Smolnik, Pierre Hadaya, W. David Holford
2018· article· en· Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Social Computing
2014· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An Intensional Type Theory
Paul C. Gilmore
2017· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Clustering of Propositions Equipped with Uncertainty
Marek Reformat, Jesse Xi Chen, Ronald R. Yager
2018· book-chapter· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Sharing Data from Pharmacy Information Systems
Jeff Barnett, Denis Lebel, Jean‐François Bussières
2011· article· en· The Canadian Journal of Hospital Pharmacy· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
TLC - Truth, Lies and Consequences
Tazim Virani
2007· editorial· en· International Journal of Evidence-Based Healthcare· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Guiding Principles for OA Book Usage Data Services
Jennifer Kemp, Peter Potter, Brian Scrivener, Charles Watkinson, Katherine Skinner
2021· report· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affunlabeled
An Ontology for Event Location
Yunpiao Bai, Michael Grüninger
2023· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Exemplification, Then and Now
Fred Wilson
2011· article· en· Axiomathes· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Survey on defining practices in ontologies: Report
Selja Seppälä, Alan Ruttenberg
2013· report· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Temporal Sequencing of Documents
Michael Gervers, Gelila Tilahun
2024· article· en· Journal of Data Mining & Digital Humanities· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
ISSUE INFORMATION–TOC
William L. Miller, Lisa Hoverman, M. A. deLamare, Lizzy Walker, John E. Juhasz, Roland Espinosa +13 more
2016· paratext· en· Insight· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ISSUE INFORMATION
Geoffrey D. Barnes, Marc Blondon, Loredana Bury, Matthias Canault, Manuel Carção, Marc Carrier +49 more
2019· paratext· en· Research and Practice in Thrombosis and Haemostasis· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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