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
Pharmaceutical Economics and Policy
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.

1,682 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.
1,682 works in the cohort · of 4,299,418page 14 of 34

Labels cover 5 of 1,682 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 1,682 of 1,682 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.

affno abstractunlabeled
World Health Organization (WHO)
John Gordon, Ruslana Khomenko, Matthias Stahl
2025· book-chapter· en· AAPS advances in the pharmaceutical sciences series· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
How cheap are Canada's drugs really?
Aidan Hollis
2004· article· en· PubMed· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
More of the Same Is Not Enough
Donald J. Willison
2002· review· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Correction
2004· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
SU112. The Dark Side of Haloperidol Decanoate Shortage in Canada
Marie‐France Demers, Isabelle Bilodeau, Laurie Laberge, Daniel A. Lavigne, Guylaine Tremblay, Guillaume Chalifour +2 more
2017· article· en· Schizophrenia Bulletin· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Effects of 'Authorized-Generics' on Canadian Drug Prices
Paul Grootendorst
2007· article· en· Social and Economic Dimensions of an Aging Population Research Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Fear of missing out: Drug availability in the United States vs Canada
Mina Tadrous, Clara Chen, Katherine Callaway Kim, Martin Ho, Joel Lexchin, Inmaculada Hernandez +1 more
2024· article· en· Journal of Managed Care & Specialty Pharmacy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Drug prices: How do we get to a better place?
Joel Lexchin
2017· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
France's health care system
Irfan A. Dhalla, Sarah Thomson
2008· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Fair pricing or pricing for profit?
Barbara Sibbald
2017· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About