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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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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.

24 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.
24 works in the cohort · of 4,299,418page 1 of 1

Labels cover 7 of 24 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 24 of 24 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Are top-cited papers more interdisciplinary?
Shiji Chen, Clément Arsenault, Vincent Larivière
2015· article· en· Journal of Informetrics· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
144
citations
affno abstractunlabeled
Modeling a century of citation distributions
Matthew L. Wallace, Vincent Larivière, Yves Gingras
2009· article· en· Journal of Informetrics· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
143
citations
affno abstractunlabeled
Comparing journal and paper level classifications of science
Fei Shu, Charles‐Antoine Julien, Lin Zhang, Junping Qiu, Jing Zhang, Vincent Larivière
2019· article· en· Journal of Informetrics· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometrics+scholarly_communicationconsensus · metaresearch+bibliometrics
95
citations
affno abstractunlabeled
Analyzing linguistic complexity and scientific impact
Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière +3 more
2019· article· en· Journal of Informetrics· Computer Science
distilled prediction:candidate · noneconsensus · none
74
citations
affno abstractgemma · metaresearch+bibliometricsgpt · bibliometricsmodels split
Exploring the interdisciplinarity patterns of highly cited papers
Shiji Chen, Junping Qiu, Clément Arsenault, Vincent Larivière
2020· article· en· Journal of Informetrics· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometricsconsensus · bibliometrics
56
citations
affaboutunlabeled
Predicting the age of researchers using bibliometric data
Gabriela F. Nane, Vincent Larivière, Rodrigo Costas
2017· article· en· Journal of Informetrics· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometrics+scholarly_communication+open_scienceconsensus · metaresearch+bibliometrics
34
citations
affno abstractgemma · bibliometricsgpt · bibliometricsmodels split
Mapping science using Library of Congress Subject Headings
Fei Shu, Jesse David Dinneen, Banafsheh Asadi, Charles‐Antoine Julien
2017· article· en· Journal of Informetrics· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometrics+scholarly_communication+open_scienceconsensus · metaresearch+bibliometrics
15
citations

How this was built: Screen · Findings · About