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 professionals’ stress and burnout
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.

1,945 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.
1,945 works in the cohort · of 4,299,418page 36 of 39

Labels cover 8 of 1,945 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 1,945 of 1,945 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 affno abstractunlabeled
Hypnosis/distraction
Jill E. MacLaren, Lindsey L. Cohen
2004· article· en· Journal of Pain· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Letter to the Editor
Laura D’Alimonte
2013· letter· en· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Burnout among Orthopedic Residents
Sanjeevi Bharadwaj, Naveen Jeyaraman, Madhan Jeyaraman, Ashok Shyam
2025· editorial· en· Journal of Orthopaedic Case Reports· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
EDITORIAL COMMENT
Jen Hoogenes
2022· editorial· es· Urology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Heartbreak in Oncology
Daniel Rayson
2019· review· en· Current Oncology Reports· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Resuscitating the doctors’ lounge
Diana Duong, Lauren Vogel
2023· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Message from our New CAEP President
Alecs Chochinov
2018· article· en· Canadian Journal of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Self-isolation
Alim Nagji
2020· article· en· Canadian Journal of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Physician Heal Thyself
Bernard S. Goldman
2004· article· en· Pacing and Clinical Electrophysiology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response to Letter to the Editor
C. Wang
2017· letter· en· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
#Burnout #Wellness
R. Rishi Gupta
2020· editorial· en· Canadian Journal of Ophthalmology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About