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
Clinical Journal of Sport Medicine
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.

637 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.
637 works in the cohort · of 4,299,418page 5 of 13

Labels cover 0 of 637 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 637 of 637 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
Infection After ACL Reconstruction
Alessandro Musso, Robert G. McCormack
2005· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Prevention and Management of Noncommunicable Disease
Gordon O. Matheson, Martin Klügl, Lars Engebretsen, Fredrik Bendiksen, Steven N. Blair, Mats Börjesson +16 more
2013· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affaboutunlabeled
Googling Concussion Care
Michael J. Ellis, Lesley Ritchie, Erin Selci, Stephanie Chu, Patrick J. McDonald, Kelly Russell
2016· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
aboutno affunlabeled
Game Performance in Ice Sledge Hockey
Bartosz Molik, Natalia Morgulec‐Adamowicz, Andrzej Kosmol, Abu B. Yilla, Alicja Filipkowska, Mateusz Lewandowski +5 more
2012· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affaboutunlabeled
Effect of Experience on Rodeo Injury
Dale J. Butterwick, Willem Meeuwisse
2002· article· en· Clinical Journal of Sport Medicine· Veterinary
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Nutritional Consideration in the Aging Athlete
Mark A. Tarnopolsky
2008· review· en· Clinical Journal of Sport Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
19
citations
affaboutunlabeled
Paralympic Medical Services for the 2010 Paralympic Winter Games
Jack Taunton, Michael J. Wilkinson, Rick Celebrini, Robert Stewart, Treny Stasyniuk, Peter Van de Vliet +2 more
2012· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Advancing the Preparticipation Physical Evaluation
William O. Roberts, Herbert Löllgen, Gordon O. Matheson, Anne Beeson Royalty, Willem Meeuwisse, Benjamin D. Levine +7 more
2014· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
18
citations

How this was built: Screen · Findings · About