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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.

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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 13 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.

affaboutunlabeled
The gender citation gap: Why and how it matters
Cary Wu
2023· article· en· Canadian Review of Sociology/Revue canadienne de sociologie· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
13
citations
affunlabeled
An index to measure a scientist's specific impact
Alex De Visscher
2009· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
13
citations
venueno affgemma · metaresearch+scholarly_communicationgpt · scholarly_communicationmodels split
Chinese PhD Students’ Perceptions of Predatory Journals: A Survey Study
Jiayun Wang, Jie Xu, Dianyun Chen
2021· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
13
citations
afffundunlabeled
Reading Peer Review
Martin Paul Eve, Cameron Neylon, Daniel Paul O’Donnell, Samuel Moore, Robert Gadie, Victoria Odeniyi +1 more
2020· book· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
13
citations
venueno affunlabeled
Sticker Shock and Looming Tsunami
Philippe C. Baveye
2009· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
12
citations
affvenuegemma · metaresearch+bibliometricsgpt · bibliometrics+scholarly_communicationmodels split
Hype or Real Threat: The Extent of Predatory Journals in Student Bibliographies
Rainer Schira, Chris Hurst
2019· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
12
citations
affunlabeled
Literature Citations in the Internet Era
Yves Gingras, Vincent Larivière, Éric Archambault
2009· letter· en· Science· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
12
citations
affunlabeled
Altmetrics: Present and future – panel
Judit Bar‐Ilan, Cassidy R. Sugimoto, Willian Gunn, Stefanie Haustein, Stacy Konkiel, Vincent Larivière +1 more
2013· article· en· Proceedings of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
12
citations
venueno affgemma · metaresearch+research_integrity+scholarly_communicationgpt · scholarly_communication+research_integritymodels split
Research on Predatory Publishing in Health Care: A Scoping Review
Marilyn H. Oermann, Julee Waldrop, Leslie H. Nicoll, Gabriel M. Peterson, Kerry Simmons Drabish, Heather Carter‐Templeton +4 more
2023· review· en· Canadian Journal of Nursing Research· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
12
citations
affgemma · metaresearch+bibliometricsgpt · bibliometrics+metaresearchmodels agree
Do we need a book citation index for research evaluation?
Yves Gingras, Mahdi Khelfaoui
2019· article· en· Research Evaluation· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
12
citations
fundvenueno affunlabeled
Open Access in China: A Study of Social Science Journals
Fei Guo, Jing-Yuan Xue, Ruoxi Li
2014· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+open_scienceconsensus · none
11
citations
affno abstractunlabeled
Proposing a manuscript peer-review checklist
Simon Duchesne, Pierre Jannin
2007· article· en· NeuroImage· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
11
citations
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