MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Canadian Urological Association Journal
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.

4,127 results · 1 filter active ·
Results by year
20072025
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.
4,127 works in the cohort · of 4,299,418page 54 of 83

Labels cover 3 of 4,127 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 4,127 of 4,127 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.

venueaboutno affunlabeled
Des souris et des machines à boules
Andrew E. MacNeily
2021· article· fr· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Weighing the data on diet and prostate cancer
Alexandre R. Zlotta
2013· article· en· Canadian Urological Association Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
MRI and prostate cancer: the next frontier
Laurence Klotz
2013· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
A rare presentation you want to remember!
Stéphane Bolduc, Julie Couture
2013· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Exploring the business of urology: Strategy and strategic planning
Darren Beiko, Elspeth J. Murray, Timothy O. Davies, J. Stuart Oake, Anne‐Marie Houle
2017· article· en· Canadian Urological Association Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Case – Penile fracture in a patient with Ehlers-Danlos syndrome
Mark Biebel, Dayron Rodríguez, Shu Pan, Alex J. Vanni, Ricardo Munarriz
2019· article· en· Canadian Urological Association Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Radionulcides
Anil Kapoor, Sebastién J. Hotte
2016· review· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutno abstractunlabeled
Choosing Wisely Canada: It’s our turn
D. Robert Siemens, Anthony Finelli
2014· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affno abstractunlabeled
Medical urologists…no longer an oxymoron
Richard Casey
2018· article· en· Canadian Urological Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Drugs and future candidates
Karl‐Erik Andersson
2013· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
The algebra of clinic and telephone medicine
Michael Leveridge
2020· editorial· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About