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
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 12 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.

affunlabeled
Per Capita Death Rate
Monica Nordberg, Douglas M. Templeton, Ole Andersen, John H. Duffus
2016· dataset· en· IUPAC Standards Online· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Primary care in the Calais Jungle
Gerry Clare, Polly Nyiri
2017· article· en· BJGP Open· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The possibility of change
Bonnie Sibbald
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Impact of War on Population Health
Turkan Ahmet
2014· article· en· MacEwan University Student eJournal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
A novel beginning
Susan Pinker
2001· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Pyrrhic victories
W C Lai
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Deaths
2007· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Je me souviens
Steve Jourdain
2017· article· fr· Inflexions· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Survival Strategies and Political Values
Sida Liu, Terence C. Halliday
2016· book-chapter· en· Cambridge University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
What Did Easter Say about Suffering?
Harold Wells
2008· article· en· Toronto Journal of Theology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mortality
Bali Ram, Shefali S. Ram
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Last Men Standing: Reflections on the ISHRS’s 25th Anniversary
Ivan S. Cohen, Paul C. Cotterill, Edwin S. Epstein, John D.N. Gillespie, Robert T. Leonard, Paul Straub
2017· article· en· International Society of Hair Restoration Surgery· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Campaign for an Iraq War inquiry
Sue Wareham
2013· article· en· Chain reaction· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
POPULATION-CENTRIC WARFARE
David Kilcullen
2024· article· en· The Journal of Intelligence Conflict and Warfare· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Author Replies to Mari Haneda
Roumiana Ilieva
2002· article· en· TESL Canada Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Overcoming Hardship in Toronto and Afghanistan
D. J. Kushner
2007· article· fr· Canadian Children's Literature / Littérature canadienne pour la jeunesse· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Ferocious Beast
Nicole Rutkowski
2019· article· en· Current Oncology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About