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
Healthcare Systems and Challenges
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.

482 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.
482 works in the cohort · of 4,299,418page 4 of 10

Labels cover 3 of 482 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 482 of 482 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.

venueno affunlabeled
Junior doctors may strike in the UK
Debra Martens
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Reply to Vanhems et al
Geoffrey Taylor, Robyn Mitchell, Allison McGeer, Charles Frenette, Kathryn N. Suh, Alice Wong +4 more
2014· letter· fr· Infection Control and Hospital Epidemiology· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Trends colliding
Kamila Premji, Richard H. Glazier, Michael Green, Shahriar Khan, Maria Mathews, Steve Nastos +3 more
2025· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reason for rage
Zeba Arif
2013· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Rethink weight limits on morning-after pill
Lauren Vogel
2015· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
How to help the unmatched medical student
Amit RL Persad
2023· article· en· Canadian Medical Education Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(08)70285-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
Ten million and counting
Vincent Hanlon
2023· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Goldilocks and the Coronavirus
Daphna Grossman
2021· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Opportunity knocks
Clare Jacobs
2003· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Opening doors to job equality
Petra Kendall-Raynor
2013· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
We want more than fair pay
Beverly Malone
2001· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
"Is there a doctor on the plane"?
Natalie Ward
2005· article· fr· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(11)70512-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Taking stock
Stephen Griffin
2001· article· en· Nursing Standard· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Ten health stories that mattered: Feb. 17–21
Roger Collier
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Serena Williams prenancy photo a mistake
2017· other· en· Internet Archive (Internet Archive)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Greek nurses reach
Jasmine Malone
2012· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Bleach / Fire Fallow
Andrea Charise
2020· article· en· Ars Medica· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
In Reply
Jennifer A. Hutcheon, Lisa M. Bodnar, Hyagriv N. Simhan
2015· letter· en· Obstetrics and Gynecology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(13)70002-6
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0765-2046(97)80182-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
← previousnext →

How this was built: Screen · Findings · About