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
Research Data Management Practices
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.

2,427 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.
2,427 works in the cohort · of 4,299,418page 6 of 49

Labels cover 37 of 2,427 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 2,427 of 2,427 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.

afffundvenueaboutunlabeled
Inter-institutional data-driven education research: consensus values, principles, and recommendations to guide the ethical sharing of administrative education data in the Canadian medical education research context
Lawrence Grierson, Alice Cavanagh, Alaa Youssef, Rachelle Lee-Krueger, Kestrel McNeill, Brenton Button +1 more
2023· article· en· Canadian Medical Education Journal· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
5
citations
affunlabeled
Features of a FAIR vocabulary
Fuqi Xu, Nick Juty, Carole Goble, Simon Jupp, Helen Parkinson, Mélanie Courtot
2023· article· en· Journal of Biomedical Semantics· Computer Science
machine prediction:candidate · open_scienceconsensus · none
5
citations
fundaboutno affunlabeled
Molt in Burrowing Owls (Athene cunicularia)
2024· article· en· Digital Commons - University of South Florida (University of South Florida)· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Rdataretriever: R Interface to the Data Retriever
Henry Senyondo, Daniel J. McGlinn, Pranita Sharma, David J. Harris, Hao Ye, Shawn D. Taylor +7 more
2021· article· en· The Journal of Open Source Software· Computer Science
machine prediction:candidate · open_scienceconsensus · none
5
citations
fundno affunlabeled
NIST Research Data Framework (RDaF)
R. J. Hanisch, Debra L. Kaiser, Alda Yuan, Andrea Medina-Smith, Bonnie Carroll, Eva Campo
2023· report· en· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
5
citations
afffundvenueunlabeled
Developing a Research Data Management Service – a Case Study
Jeff Moon
2014· article· en· Partnership The Canadian Journal of Library and Information Practice and Research· Computer Science
machine prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · none
5
citations
affaboutunlabeled
Finding the Public Domain
Melissa Levine, Justin Bonfiglio
2016· book· en· Computer Science
machine prediction:candidate · open_scienceconsensus · none
4
citations
affvenueunlabeled
INKE Administrative Structure: Omnibus Document
Lynne Siemens
2012· article· en· Scholarly and Research Communication· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
venueno affunlabeled
The value of scholarly reading in the life sciences
Carol Tenopir, Rachel Volentine
2012· article· en· Ideas in Ecology and Evolution· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
afffundunlabeled
How open science can benefit bilingualism research: A lesson in six tales
Rodrigo Dal Ben, Melanie Brouillard, Ana Maria Gonzalez‐Barrero, Hilary Killam, Lena V. Kremin, Erin Quirk +4 more
2022· article· en· Bilingualism Language and Cognition· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
4
citations
affunlabeled
LinkML: an open data modeling framework
Sierra Moxon, Harold R. Solbrig, Nomi L. Harris, Patrick Kalita, Mark A. Miller, Sagar Patil +24 more
2025· article· en· GigaScience· Computer Science
machine prediction:candidate · open_scienceconsensus · none
4
citations
venueno affunlabeled
Data Sharing Goals for Nonprofit Funders of Clinical Trials
Timothy Coetzee, Mad Price Ball, Marc Boutin, Abby Bronson, David T. Dexter, Rebecca A English +19 more
2020· article· en· Journal of Participatory Medicine· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
4
citations

How this was built: Screen · Findings · About