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
Health and Conflict Studies
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.

1,013 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.
1,013 works in the cohort · of 4,299,418page 19 of 21

Labels cover 2 of 1,013 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 1,013 of 1,013 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.

affvenueunlabeled
The little red box
Eric Cadesky
2012· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Darfur: arrival
Maarten van Rijn
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
In the midst of war, we choose life
Wael Abdallah, Malek Nassar
2025· letter· en· Eastern Mediterranean Health Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Medicine in a Silent War With Itself
Erwin B. Montgomery
2025· book-chapter· en· Elsevier eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
President's message. Cradle to grave.
Tom Smith‐Windsor
2016· editorial· fr· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
EVIDENCE-INFORMED DECISION-MAKING IN CRISIS ZONES
Ahmad Firas Khalid
2019· dissertation· en· MacSphere (McMaster University)· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
venueno affunlabeled
Somali symbiosis, part 2: what I did
John H. Barnhill
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Peace Offering
2020· article· en· ScholarsArchive (Brigham Young University)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10 stories that mattered: Dec. 6–12
Lauren Vogel
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Yoda in the Pentagon
2011· article· en· Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Effects of the war on Canadian youth.
2014· article· en· QSpace (Queen's University Library)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Israeli charity sows “seeds of peace”
Adam Miller
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Make peace not war
Jocalyn Clark
2003· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
September 11th—A Memoir
Alden N. Haffner
2001· article· en· Optometry and Vision Science· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Pharmacy in times of war
Dana Graham Lai
2007· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Norm - March 29, 2023 - Chef Aleem Syed
2023· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
1+1=3
2016· dissertation· no· Duo Research Archive (University of Oslo)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Peace Ribbon Campaign
2006· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
One thousand words
C. Younger-Lewis
2006· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About