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
Healthcare Systems and Public Health
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.

607 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.
607 works in the cohort · of 4,299,418page 11 of 13

Labels cover 4 of 607 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 607 of 607 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
Preface
Aneta Nitsch‐Osuch
2023· article· en· Family Medicine & Primary Care Review· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Eye Health Month Wrap Up Report
Cao Aco
2009· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Eye Health Month Wrap-up Report
CAO ACO
2010· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
Aneta Nitsch‐Osuch
2022· article· en· Family Medicine & Primary Care Review· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Foreward
2010· article· en· Scholarship@Western (Western University)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
AI offers window on heart health
Anita Chakraverty
2022· article· en· Inside Precision Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
VIRTUAL VISITS EVAULATION IN HEART FUNCTION CLINICS
Wah Chiu, Sara Jo Nixon, Lucy Gomes, L. Bascug, Alan Yean Yip Fong, M MacKay
2023· article· en· Canadian Journal of Diabetes· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/zHT5W0yZNJ
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Cognitive Impairment Detection
Ashley O. Morris
2021· letter· en· Health Affairs· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About