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
Electronic Health Records Systems
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.

2,603 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.
2,603 works in the cohort · of 4,299,418page 21 of 53

Labels cover 6 of 2,603 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 2,603 of 2,603 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.

affaboutunlabeled
Revisiting public health informatics: patient privacy concerns
David Birnbaum, Kathryn Gretsinger, Marcy Antonio, Elizabeth Loewen, Paulette Lacroix
2018· article· en· International Journal of Health Governance· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Evaluation of a Nationwide e-Prescribing System
Aude Motulsky, Marie-Pierre Moreault, Elizabeth M. Borycki, André Kushniruk, Claude Sicotte
2019· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
DB4US: A Decision Support System for Laboratory Information Management
José M. Carmona-Cejudo, María Luisa Hortas, Manuel Baena-García, Jorge Lana-Linati, Carlos González, Maximino Redondo +1 more
2012· article· en· Interactive Journal of Medical Research· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Usability Evaluation
TAMMIE LEIGH DI PIETRO, Ha Nguyen, Diane Doran
2012· article· en· CIN Computers Informatics Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
When No One Has Time
Janet Morrison, Per Lindberg
2008· review· en· AAOHN Journal· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Home Care and Technology: A Case Study
Eleni Stroulia, Sharla King, Lysanne Lessard
2012· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Pharmacy Information Systems in Canada
Jeff Barnett, Heather Jennings
2009· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About