MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,914 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,914 works in the cohort · of 4,299,418page 38 of 39

Labels cover 1,914 of 1,914 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 1,914 of 1,914 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 affgemma · metaresearch+bibliometricsgpt · bibliometricsmodels split
Applications of altmetrics for Canadian institutions
2017· other· en· Figshare
machine prediction:candidate · metaresearch+bibliometrics+insufficient_payloadconsensus · none
0
citations
aboutno affgemma · metaresearchgpt · no categorymodels split
Risk of bias assessment scores.
2021· article· en· Figshare· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affno abstractgemma · metaresearch+research_integritygpt · research_integritymodels split
Response to letter to the editor related to the retraction of a trial included in a meta-analysis of interventions to enhance oral medication adherence titled “Effectiveness and content analysis of interventions to enhance oral antidiabetic drug adherence in adults with type 2 diabetes: Systematic review and meta-analysis”
Hervé Tchala Vignon Zomahoun, Marijn de Bruin, Laurence Guillaumie, Jocelyne Moisan, Jean‐Pierre Grégoire, Line Guénette +2 more
2018· letter· en· Value in Health· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
0
citations
affgemma · research_integritygpt · metaresearch+research_integritymodels split
Twenty-Five Strategies to Prevent Plagiarism
Sarah Elaine Eaton
2020· other· en· Open MIND
machine prediction:candidate · research_integrityconsensus · none
0
citations
affgpt · metaresearch+open_sciencegrok · metaresearch+open_scienceopus · metaresearch+open_sciencemodels split
Transparent, Open, and Reproducible Prevention Science
Sean Grant, Kathleen Ellen Wendt, Bonnie J. Leadbeater, Lauren Supplee, Evan Mayo‐Wilson, Frances Gardner +1 more
2020· preprint· en· Health Professions
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
aboutno affgemma · metaresearch+bibliometrics+open_sciencegpt · bibliometrics+scholarly_communication+open_sciencemodels split
Open Access of COVID-19 related publications in the first quarter of 2020: a preliminary study based in PubMed
Olatz Arrizabalaga, David Otaegui, Itziar Vergara, Julio Arrizabalaga, Eva Méndez
2020· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
aboutno affgemma · metaresearch+bibliometrics+scholarly_communicationgpt · bibliometrics+scholarly_communication+open_sciencemodels split
The rise in subscription fees and the gold open access publishing, examined from financial reports of major publishers
拓 坂本, 大学図書館研究グループ
2024· article· ja· Kyoto University Research Information Repository (Kyoto University)· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+open_scienceconsensus · none
0
citations
affgemma · metaresearch+research_integritygpt · metaresearch+research_integritymodels agree
How to minimize research misconduct? Priorities for academics in nursing
Alexander M. Clark, David R. Thompson
2019· editorial· en· Journal of Advanced Nursing· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
0
citations

How this was built: Screen · Findings · About