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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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Frontiers in artificial intelligence and applications
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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
fundfunder
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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.

231 results · 1 filter active ·
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20082025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
231 works in the cohort · of 4,299,418page 1 of 5

Labels cover 0 of 231 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 231 of 231 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Conflict-Driven Clause Learning SAT Solvers
Inês Lynce
2009· book-chapter· en· Frontiers in artificial intelligence and applications· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
321
citations
affunlabeled
Types of Dialogue and Burdens of Proof
Douglas Walton
2010· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
ArvandHerd: Parallel Planning with a Portfolio
Richard Valenzano, Hootan Nakhost, Jonathan Schaeffer, Nathan Sturtevant
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
30
citations
affunlabeled
Realism for scientific ontologies
Michel Dumontier, Robert Hoehndorf
2010· book-chapter· en· Frontiers in artificial intelligence and applications· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
27
citations
affunlabeled
An Ontology for Skill and Competency Management
Maryam Fazel-Zarandi, Mark S. Fox
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
25
citations
affunlabeled
Efficient Reasoning in Multiagent Epistemic Logics
Gerhard Lakemeyer
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
23
citations
affunlabeled
Formalizing Balancing Arguments
Thomas F. Gordon, Douglas Walton
2016· book-chapter· en· Frontiers in artificial intelligence and applications· Social Sciences
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Ontology Verification with Repositories
Torsten Hahmann, Ali Hashemi, Darren Ong
2010· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
The Cardiovascular Disease Ontology
Adrien Barton, Arnaud Rosier, Anita Burgun
2014· book-chapter· en· Frontiers in artificial intelligence and applications· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
The Identity of Dispositions
Adrien Barton, Olivier Grenier, Ludger Jansen
2018· book-chapter· en· Frontiers in artificial intelligence and applications· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
How Hard Is It to Control an Election by Breaking Ties?
Nicholas Mattei, Nina Narodytska
2014· book-chapter· en· Frontiers in artificial intelligence and applications· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
17
citations
affunlabeled
What Is Ontology Reuse?
Megan Katsumi
2016· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Compressing Pattern Databases with Learning
Mehdi Samadi, Maryam Siabani, Ariel Felner, Robert C. Holte
2008· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Reasoning about Dynamic Depth Profiles
Mikhail Soutchanski
2008· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
The Mereological Structure of Informational Entities
Adrien Barton, Fumiaki Toyoshima, Laure Vieu, Paul Fabry, Jean‐François Éthier
2020· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Quantitative Model Checking of Knowledge
Wei Wan
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About