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
Topic
Primary Care and Health Outcomes
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.

4,685 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.
4,685 works in the cohort · of 4,299,418page 93 of 94

Labels cover 32 of 4,685 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 4,685 of 4,685 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
David Robert Scarfe
Bob Adams
2007· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada’s Health Policy Landscape
2017· book-chapter· en· University of British Columbia Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Cochrane Canada to lose primary funding
Roger Collier
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affno abstractunlabeled
Another Step toward Patient-Centred Health Care
Rosemary Killeen
2006· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
CMA president slams doctors in parting speech
Lauren Vogel
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-84-8086-219-6.00010-8
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affno abstractunlabeled
Canadian urology – so much to be proud of
Fred Saad
2019· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Saskatchewan Hospitals: Off to a Slow Star
2002· book-chapter· en· McGill-Queen's University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
CANADIAN LABORATORY MEDICINE CONGRESS
2007· article· en· Pathology - Research and Practice· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
In Memoriam: Dr. Roger Bland, 1937-2018
Scott B. Patten
2018· article· en· The Canadian Journal of Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Canada’s Clinical Skills Experience
W. Dale Dauphinée
2002· article· en· Journal of Medical Regulation· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Scaling new heights in global health
Hanan Khalil
2014· editorial· en· International Journal of Evidence-Based Healthcare· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Words of truth
N. B. Hershfield
2004· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Storylines of family medicine VIII: clinical approaches
William Ventres, Leslie A Stone, Lauren Gibson-Oliver, Elizabeth Kyle Meehan, Mari Ricker, David Loxterkamp +6 more
2024· article· en· Family Medicine and Community Health· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Health Services Data Sources in Canada
S. Taillon
2014· other· en· Wiley StatsRef: Statistics Reference Online· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Did GPs Ever Spare the ER?
Sanjho Srikandarajah
2008· article· en· Open MIND· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About