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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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Journal of the Association for Information Science and Technology
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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.

151 results · 1 filter active ·
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20132025
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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.
151 works in the cohort · of 4,299,418page 1 of 4

Labels cover 33 of 151 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 151 of 151 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.

afffundgemma · metaresearch+scholarly_communicationgpt · scholarly_communicationmodels split
Scholarly use of social media and altmetrics: A review of the literature
Cassidy R. Sugimoto, Sam Work, Vincent Larivière, Stefanie Haustein
2017· review· en· Journal of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
571
citations
afffundunlabeled
Team size matters: Collaboration and scientific impact since 1900
Vincent Larivière, Yves Gingras, Cassidy R. Sugimoto, Andrew Tsou
2014· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
476
citations
affunlabeled
Truth and deception at the rhetorical structure level
Victoria L. Rubin, Tatiana Lukoianova
2014· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
144
citations
afffundunlabeled
The invariant distribution of references in scientific articles
Marc Bertin, Iana Atanassova, Yves Gingras, Vincent Larivière
2015· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
88
citations
afffundgemma · metaresearch+research_integritygpt · metaresearch+research_integritymodels agree
Costly collaborations: The impact of scientific fraud on co‐authors' careers
Philippe Mongeon, Vincent Larivière
2015· article· en· Journal of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
81
citations
aboutno affunlabeled
How is research blogged? A content analysis approach
Hadas Shema, Judit Bar‐Ilan, Mike Thelwall
2014· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+scholarly_communicationconsensus · none
71
citations
affgemma · no categorygpt · no categorymodels split
The ubiquitous digital file: A review of file management research
Jesse David Dinneen, Charles‐Antoine Julien
2019· review· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Boundary objects in information science
Isto Huvila, Theresa Dirndorfer Anderson, Eva Hourihan Jansen, Pamela J. McKenzie, Adam Worrall
2017· article· en· Journal of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · stsconsensus · none
65
citations
affunlabeled
Estimating open access mandate effectiveness: The <scp>MELIBEA</scp> score
Philippe Vincent‐Lamarre, Jade Boivin, Yassine Gargouri, Vincent Larivière, Stevan Harnad
2015· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+open_scienceconsensus · none
49
citations
affunlabeled
Are elite journals declining?
Vincent Larivière, George A. Lozano, Yves Gingras
2013· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
46
citations

How this was built: Screen · Findings · About