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
Medicine Conflict & Survival
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.

62 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.
62 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 62 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 62 of 62 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.

affunlabeled
HIV/AIDS in African militaries: an ecological analysis
Oumar Ba, Christopher O’Regan, Jean B. Nachega, Curtis Cooper, Aranka Anema, Beth Rachlis +1 more
2008· article· en· Medicine Conflict & Survival· Health Professions
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Conflict induced internal displacement in Nepal
Sonal Singh, Sharan Prakash Sharma, Edward J. Mills, Krishna C. Poudel, Masamine Jimba
2007· article· en· Medicine Conflict & Survival· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affaboutunlabeled
The Responsibility to Protect
Matt Deutscher
2004· article· en· Medicine Conflict & Survival· Social Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
The science of human security
Nathan Taback, Robin M. Coupland
2007· article· en· Medicine Conflict & Survival· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
‘War on terrorism’ and deep culture
Joanna Santa Barbara
2003· article· en· Medicine Conflict & Survival· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
More guns, more death
Wendy Cukier
2002· article· en· Medicine Conflict & Survival· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Commentary
Nathan Taback, Robin M. Coupland
2008· article· en· Medicine Conflict & Survival
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About