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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 29 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
Peer review declaration
2021· article· en· IOP Conference Series Earth and Environmental Science· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Open access: The evidence and the verdict
Stevan Harnad
2006· article· en· Journal of the Royal Society of Medicine· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+open_scienceconsensus · none
0
citations
venueno affunlabeled
La science comme champ
Pascal Ragouet
2023· article· fr· Sociologie et sociétés· Decision Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
Impact Factor, My Donkey!
Ray Egerton
2010· article· en· Microscopy Today· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affunlabeled
Storytelling for Translational Research Impact
Sarah Gonzalez, Ying‐Hsang Liu, Sue Yeon Syn, Stephann Makri, Lynn Silipigni Connaway, Lisa M. Given +2 more
2023· article· en· Proceedings of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueaboutunlabeled
The Use of Institutional Repositories for Self-Archiving in Canadian Universities
Poppy Riddle, Marc‐André Simard, Keshava Pallavi Gone, Vinson Li, Philippe Mongeon
2024· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+open_scienceconsensus · none
0
citations
aboutno affunlabeled
COMME EXIGENCE PARTIELLE
2014· article· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Preface
Liwen Vaughan, Wolfgang Glänzel
2006· article· en· Scientometrics· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Fein Receives Edward A. Flinn III Award
Richard A. Anthes, Jay S. Fein
2009· article· en· Eos· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Relire les revues québécoises
2021· book· fr· Presses de l’Université de Montréal eBooks· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
venueno affunlabeled
A Short Note on Short Notes
Stephen K. Donovan
2012· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
venueno affunlabeled
Truth or Hope?
David Henige
2010· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
venueno affunlabeled
Field Delineation or Field Delimitation for Mapping Sciences?
Andreas Strotmann, Dangzhi Zhao, Tania Bubela
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affvenueaboutunlabeled
Mapping information research in Canada
Philippe Mongeon, Catherine Gracey, Poppy Riddle, Madelaine Hare, Marc‐André Simard, Jean-Sébastien Sauvé
2023· article· en· Canadian Journal of Information and Library Science· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affunlabeled
Academic Primer Series: Key Papers About Peer Review
Lalena M. Yarris, Michael Gottlieb, Kevin Scott, Christopher Sampson, Emily Rose, Teresa M. Chan +1 more
2024· preprint· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Services de transfert des savoirs
Albert Simard
2008· article· fr· Revue de géographie alpine· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
venueno affunlabeled
A Quantitative Analysis of Countries’ Research Strengths
Anurag Saxena, S. David Brazer, B. M. Gupta
2009· article· en· International Journal of Education Policy and Leadership· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
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