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
Empathy and Medical Education
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.

1,896 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.
1,896 works in the cohort · of 4,299,418page 20 of 38

Labels cover 5 of 1,896 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 1,896 of 1,896 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
2 Hope, Trust, Medical Action, and Care
Sylvie Fortin, Sabrina Lessard
2024· book-chapter· en· transcript Verlag eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Ambient listening in dermatology
Matthew J. Yan, Shannon Wongvibulsin, Steven T. Chen
2025· article· en· JAAD reviews.· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
HEART OF THE MOUNTAIN
Barbara Bickel, R. M. Fisher
2020· article· en· Art/Research International A Transdisciplinary Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Be kind. Use systems. Improve care
Taressa Fraze, Sunita Mutha
2023· article· en· Health Services Research· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Empathy Toward Animals Scale
Claudia Dias Martins, Bassam Khoury
2025· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Mass extinction of life is imminent
Kamran Abbasi
2010· editorial· en· Journal of the Royal Society of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
More son, less doctor
2023· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Through the eyes of a medical student
Dustin Jacobson
2013· article· en· Perspectives on Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Amazing Grace
G. R. Harvey
2006· article· en· American book review/˜The œAmerican book review· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About