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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 41 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 state of OAI-PMH repositories in Canadian Universities
Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, Olivier Charbonneau, Philippe Langlais
2023· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · bibliometrics+scholarly_communicationconsensus · none
0
citations
affunlabeled
Stagnation and Scientific Incentives
Jay Bhattacharya, Mikko Packalén
2020· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Public support for OA journals in Canada
Peter Suber
2005· preprint· en· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
aboutno affunlabeled
Open Science, Closed Peer Review?
Daniel Evans, Anna Dreber, Aisha K. Gill, Séverine Toussaert, Gary Charness
2025· preprint· en· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
aboutno affunlabeled
Author Impact Measures in Communication Sciences and Disorders
Sarah P. Faucette, Andrew P. Stuart, William Joseph Thomas
2015· article· en· NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Åpen tilgang til vitenskapelig publisering
Janne Beate Reitan
2016· article· no· FormAkademisk - forskningstidsskrift for design og designdidaktikk· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
0
citations
aboutno affunlabeled
Open Access for the Australian Medical Librarian
Heather Morrison, Andrew Waller
2008· article· en· Hispana· Decision Sciences
machine prediction:candidate · scholarly_communication+open_scienceconsensus · 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
Three questions with…. DeDe!
Alice Fleerackers
2020· preprint· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Working Towards a Standard Model
Philip McShane
2016· article· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Researcher Survey 2010
Rod Cookson
2010· article· en· Editors Bulletin· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affno abstractunlabeled
Perseverance
Guido Filler, Ravneet Nagra
2019· book-chapter· en· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
venueaboutno affgemma · scholarly_communicationgpt · scholarly_communicationmodels agree
Special Section on the Future University Press in Canada
Ruth Bradley-St-Cyr
2018· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affgemma · bibliometricsgpt · metaresearch+bibliometricsmodels split
Impact of a Fulbright award: A bibliometric analysis of persistence
Charlené Downing, Annie Temane, L. Amy Giles, Jean Hillyer, Sean Beatty
2025· article· en· Health SA Gesondheid· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affunlabeled
The future of institutional repositories: The experts (and audience) debate
Leslie Chan, Kenneth Frazier, Michael R. Leach, Robin Peek, Anita Sundaram Coleman, Kristin R. Eschenfelder
2007· article· en· Proceedings of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affvenuegemma · metaresearchgpt · no categorymodels split
Peer Review of the Evidence Base
Lorie A. Kloda
2015· article· en· Evidence Based Library and Information Practice· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations

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