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
Trauma and Emergency Care Studies
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.

2,127 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.
2,127 works in the cohort · of 4,299,418page 25 of 43

Labels cover 10 of 2,127 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 2,127 of 2,127 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
Coroner accused of overkill
Dave Helwig
2000· article· en· Europe PMC (PubMed Central)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Commentary
N Padian
2006· article· en· Sexually Transmitted Infections· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Case Management
Kathleen Fraser
2020· article· en· Professional Case Management· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Qu'est-ce qui tue et blesse les jeunes du Canada?
Neil Macdonald, Natalie Yanchar, Paul C. Hébert
2007· article· fr· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Letters to the Editor
Richard K. Simons
2003· article· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Critical Care Canada Forum 2018 Abstracts
2019· article· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affRetractionunlabeled
Role of Vena Cava Filter in the Prophylaxis and Treatment of Venous Thromboembolism in Injured Adult Patients: A Systematic Review, Meta-Analysis, and Practice Management Guideline from the Eastern Association for the Surgery of Trauma [RETRACTED]
Bishwajit Bhattacharya, Lisa M. Kodadek, Igor Nichiporenko, Shawna Morrissey, Jordan Kirsch, Jeff Choi +9 more
2024· article· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Thinking like a freak in acute care surgery
Walter L. Biffl
2023· article· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The world of trauma working together
Sandro Rizoli, Ari Leppäniemi
2012· article· en· World Journal of Emergency Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Classifying outcomes of care for injured patients
Nathaniel Bell, Boris Sobolev, Andrea Townson, David C. Evans, Hugh Anton, Richard Simons
2014· article· en· Canadian Journal of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Re
Lynne Moore
2016· letter· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affaboutno abstractunlabeled
REBOA in Canada: time to shine, or time’s up?
Winny Li, Andrew Petrosoniak, Markus Ziesmann
2021· letter· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Where does our journal fit? Trends in trauma surgery
Gary Gamme, Syed Morad Hameed, Chad G. Ball
2014· letter· en· The Journal of Trauma: Injury, Infection, and Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About