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
Sports injuries and prevention
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.

2,011 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.
2,011 works in the cohort · of 4,299,418page 35 of 41

Labels cover 6 of 2,011 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 2,011 of 2,011 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
In Response to
Silvio Tafuri, Leonardo Ascatigno, Maria Serena Gallone
2017· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply
Breanne Kunstler, Jill Cook, Nicole Freene, Caroline F. Finch, Joanne L. Kemp, Paul D. OʼHalloran +1 more
2018· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In Response to
Crystian B. Oliveira, Christopher G. Maher, Rafael Zambelli Pinto
2018· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
In Response to
Rodrigo L. de Almeida, Victor G. Carvalho, Frederico Ribeiro Neto
2018· article· en· Clinical Journal of Sport Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Review Exercises for Part One
Michel Launey, Christopher S. Mackay
2011· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A theoretical overview of maltreatment in sport
Ashley Stirling
2018· article· en· Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Announcements
2000· article· en· Pediatric Physical Therapy· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About