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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.

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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.

923 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
923 works in the cohort · of 4,299,418page 1 of 19

Labels cover 923 of 923 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 923 of 923 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.

fundno affgemma · bibliometrics+scholarly_communicationgpt · bibliometricsmodels split
<scp>SciMAT</scp>: A new science mapping analysis software tool
Manuel J. Cobo, A.G. López‐Herrera, Enrique Herrera‐Viedma, Francisco Herrera
2012· article· en· Journal of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
1,187
citations
affgemma · bibliometrics+metaresearchgpt · bibliometrics+scholarly_communicationmodels split
Bibliometrics: Methods for studying academic publishing
Anton Ninkov, Jason R. Frank, Lauren A. Maggio
2021· article· en· Perspectives on Medical Education· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
938
citations
affgemma · metaresearch+bibliometricsgpt · metaresearchmodels split
Level of Evidence in Orthopaedic Journals
William T. Obremskey, Nick Pappas, Emad Attallah-Wasif, Paul Tornetta, Mohit Bhandari
2005· article· en· Journal of Bone and Joint Surgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
324
citations
afffundvenuegemma · metaresearch+bibliometrics+research_integritygpt · metaresearch+bibliometrics+scholarly_communication+research_integritymodels split
How predatory journals leak into PubMed
Andrea Manca, David Moher, Lucia Cugusi, Zeevi Dvir, Franca Deriu
2018· article· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
146
citations
affaboutgemma · bibliometrics+metaresearchgpt · metaresearch+bibliometricsmodels agree
Impact of collaborative research on academic science
Benoı̂t Godin, Yves Gingras
2000· article· en· Science and Public Policy· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
119
citations
affgemma · metaresearchgpt · metaresearch+bibliometricsmodels split
Levels of Evidence in Plastic Surgery Research over 20 Years
Frederick B. Loiselle, Raman C. Mahabir, A. Robert Harrop
2008· review· en· Plastic & Reconstructive Surgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
102
citations
affno abstractgemma · bibliometrics+metaresearchgpt · metaresearch+bibliometricsmodels split
The classification of biomedical journals by research level
Grant Lewison, Guillermo Paraje
2004· article· en· Scientometrics· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
89
citations
affgemma · bibliometricsgpt · bibliometricsmodels agree
Top 100 cited articles in cardiovascular magnetic resonance: a bibliometric analysis
Muhammad Shahzeb Khan, Waqas Ullah, Irbaz Bin Riaz, Nizar Bhulani, Warren J. Manning, Srini Tridandapani +1 more
2016· review· en· Journal of Cardiovascular Magnetic Resonance· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
88
citations
affgemma · metaresearch+bibliometricsgpt · bibliometrics+metaresearchmodels split
The power of altmetrics on a CV
Heather Piwowar, Jason R Priem
2013· article· en· Bulletin of the American Society for Information Science and Technology· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
86
citations
venueaboutno affgemma · bibliometricsgpt · bibliometricsmodels split
Virtual Reality in Health Care: Bibliometric Analysis
Christian Matthias Pawassar, Victor Tiberius
2021· article· en· JMIR Serious Games· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
76
citations
affgemma · bibliometricsgpt · bibliometricsmodels split
A new approach for detecting scientific specialties from raw cocitation networks
Matthew L. Wallace, Yves Gingras, Russell J. Duhon
2008· article· en· Journal of the American Society for Information Science and Technology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
65
citations

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