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
Journal of Evaluation in Clinical Practice
Topic
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.

615 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.
615 works in the cohort · of 4,299,418page 4 of 13

Labels cover 8 of 615 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 615 of 615 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.

afffundaboutunlabeled
Degree and correlates of patient trust in their cardiologist
Sheena Kayaniyil, Shannon Gravely‐Witte, Donna E. Stewart, Lyall Higginson, Neville Suskin, David A. Alter +1 more
2009· article· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
27
citations
afffundaboutunlabeled
GP group profiles and involvement in mental health care
Marie‐Josée Fleury, Jean‐Marie Bamvita, Lambert Farand, Denise Aubé, Louise Fournier, Alain Lesage
2010· article· en· Journal of Evaluation in Clinical Practice· Psychology
machine prediction:candidate · noneconsensus · none
26
citations
aboutno affunlabeled
Indications for hip and knee replacement in Sweden
Sofia Löfvendahl, Svetlana Bizjajeva, Jonas Ranstam, Lars Lidgren
2010· article· en· Journal of Evaluation in Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
25
citations
afffundgpt · metaepi_broadgrok · no categoryopus · no categorymodels split
Accuracy assessment of prediction in patient outcomes
Emma Bartfay, Wally J. Bartfay
2008· review· en· Journal of Evaluation in Clinical Practice· Computer Science
machine prediction:candidate · metaresearchconsensus · none
25
citations
afffundunlabeled
A realist review of the home care literature and its blind spots
Damien Contandriopoulos, Kelli Stajduhar, Tanya Sanders, Annie Carrier, Ami Bitschy, Laura Funk
2021· review· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · metaresearchconsensus · none
22
citations
affunlabeled
The inseparability of context and clinical reasoning
Andrew Olson, Juliane E. Kämmer, Ahmed Taher, Robert J. Johnston, Yang Qian, Shawn Mondoux +1 more
2024· article· en· Journal of Evaluation in Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About