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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 21 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.

afffundunlabeled
The Properties of Personal Semantics
Annick Tanguay, Kim Thériault, Sharice Clough, Vanessa Taler, Louis Renoult, Patrick S. R. Davidson
2024· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Knowledge Engineering
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
RATIONALE: reasoning by explaining
Suhayya Abu-Hakima, Franz Oppacher
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
CINDI
Rui Chen, Alirio Perez, Krishma Dutta, Bipin C. Desai
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Static reformulation
Michael Huggett, Joel Lanir
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Computing with Epistemic and Spatial Modalities
Sophia Knight, Prakash Panangaden, Frank Valencia
2020· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Selection of Collaborative Tools
Tom Kane, Jon Baggaley
2002· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
DataGM: Curating an Environment for Change
Drew Hemment, Kevin L. Smith, Julian Tait, Anna Dornan
2013· article· en· Discovery Research Portal (University of Dundee)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Multidisciplinary approaches to computing
Luigi Benedicenti, Dongyan Blachford, Christine W. Chan, Allan L. L. East, Craig Gelowitz, Guohe Huang +4 more
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About