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
Global Health Care Issues
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.

1,663 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.
1,663 works in the cohort · of 4,299,418page 28 of 34

Labels cover 8 of 1,663 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 1,663 of 1,663 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.

aboutno affunlabeled
Capitalising in the long term.
Bernd Rechel, Stephen L. Wright, Nigel Edwards, Barrie Dowdeswell, Martin McKee
2009· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Financing the Public Health System
Alois Guger, Markus Marterbauer, Ewald Walterskirchen
2006· article· en· WIFO Monatsberichte (monthly reports)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
E‐learning and health inequality aversion: a questionnaire experiment
Richard Cookson, Shehzad Ali, Aki Tsuchiya, Miqdad Asaria
2018· preprint· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Asthma Mortality Worldwide
Hugo Neffen
2006· article· en· Allergy & Clinical Immunology International - Journal of the World Allergy Organization· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Better Life Index
Niels C. Lind
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)71350-1
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Public expenditure on pensions
2021· book-chapter· en· OECD pension at a glance/Pensions at a glance· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sink or swim- ageing in Australia
2005· article· en· Deakin Research Online (Deakin University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fair Long-Term Care Insurance
Marie‐Louise Leroux, Pierre Pestieau, Grégory Ponthière
2019· article· en· Open Repository and Bibliography (University of Liège)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1553-3212(09)70006-8
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