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
Patient Safety and Medication Errors
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.

1,743 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.
1,743 works in the cohort · of 4,299,418page 1 of 35

Labels cover 12 of 1,743 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 1,743 of 1,743 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
Introduction of Surgical Safety Checklists in Ontario, Canada
David R. Urbach, Anand Govindarajan, Refik Saskin, Andrew S. Wilton, Nancy N. Baxter
2014· article· en· New England Journal of Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
627
citations
affunlabeled
Simulation-Based Trial of Surgical-Crisis Checklists
Alexander F. Arriaga, Angela M. Bader, Judith M. Wong, Stuart R. Lipsitz, William R. Berry, John E. Ziewacz +5 more
2013· article· en· New England Journal of Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
567
citations
affunlabeled
Team Communications in the Operating Room
Lorelei Lingard, Richard K. Reznick, Sherry Espin, Glenn Regehr, Isabella Devito
2002· article· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
434
citations
affno abstractunlabeled
Critical incident reporting and learning
Rajesh Mahajan
2010· review· en· British Journal of Anaesthesia· Health Professions
machine prediction:candidate · noneconsensus · none
391
citations
afffundno abstractunlabeled
Emergency medicine: A practice prone to error?
Pat Croskerry, Douglas Sinclair
2001· article· en· Canadian Journal of Emergency Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · none
275
citations
affaboutunlabeled
Choosing Your Words Carefully
Thomas H. Gallagher, Jane Garbutt, Amy D. Waterman, David R. Flum, Eric B. Larson, Brian Waterman +3 more
2006· article· en· Archives of Internal Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · none
261
citations
affunlabeled
Standardization in patient safety: the WHO High 5s project
Agnès Leotsakos, Hao Zheng, R Croteau, J. M. Loeb, Heather Sherman, Calvin C. Hoffman +8 more
2014· article· en· International Journal for Quality in Health Care· Health Professions
machine prediction:candidate · noneconsensus · none
238
citations
affno abstractunlabeled
Communication During Patient Hand-Overs
Ahmed Abdellatif, James P. Bagian, Enrique Barajas, Michael R. Cohen, Diane D. Cousins, Charles R. Denham +29 more
2007· article· en· The Joint Commission Journal on Quality and Patient Safety· Health Professions
machine prediction:candidate · noneconsensus · none
205
citations

How this was built: Screen · Findings · About