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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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scientometrics and bibliometrics research
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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.

2,100 results · 1 filter active ·
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20002025
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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.
2,100 works in the cohort · of 4,299,418page 5 of 42

Labels cover 193 of 2,100 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 2,100 of 2,100 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.

aboutno affunlabeled
The top 100 cited articles in urology: An update.
Gregory J. Nason, Farhan Tareen, Alan Mortell
2013· article· en· PubMed· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
62
citations
affunlabeled
New opportunities for repositories in the age of altmetrics
Stacy Konkiel, David Scherer
2013· article· en· Bulletin of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometrics+scholarly_communicationconsensus · none
61
citations
affunlabeled
Stagnation and Scientific Incentives
Jay Bhattacharya, Mikko Packalén
2020· preprint· en· National Bureau of Economic Research· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
60
citations
affno abstractunlabeled
The discipline dependence of citation statistics
Eva Lillquist, Sheldon Green
2010· article· en· Scientometrics· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
60
citations
affunlabeled
Open Access Publishing: What Authors Want
Rajiv Nariani, Leila Fernandez
2012· article· en· College & Research Libraries· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
57
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
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
56
citations
afffundunlabeled
Ten simple rules for collaboratively writing a multi-authored paper
Marieke A. Frassl, David P. Hamilton, Blaize A. Denfeld, Elvira de Eyto, Stephanie E. Hampton, Philipp S. Keller +6 more
2018· editorial· en· PLoS Computational Biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
56
citations
affunlabeled
Predatory Publishing in Orthopaedic Research
James Yan, Hassan Baldawi, Johnathan R. Lex, Gabriel Simchovich, Louis-Philippe Baisi, Anthony Bozzo +1 more
2018· article· en· Journal of Bone and Joint Surgery· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
56
citations
affunlabeled
Citation network analysis
Colin D. McLaren, Mark W. Bruner
2022· article· en· International Review of Sport and Exercise Psychology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
55
citations
affvenueaboutunlabeled
Measuring Canadian Business School Research Output and Impact
Erhan Erkut
2002· article· fr· Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
54
citations
affunlabeled
The United States of America and Scientific Research
Gregory J. Hather, Winston Haynes, Roger Higdon, Natali Kolker, Elizabeth A. Stewart, Peter Arzberger +10 more
2010· article· en· PLoS ONE· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
53
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
Task specialization across research careers
Nicolás Robinson‐García, Rodrigo Costas, Cassidy R. Sugimoto, Vincent Larivière, Gabriela F. Nane
2020· article· en· eLife· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
48
citations

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