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
Orthopedic Infections and Treatments
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.

767 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.
767 works in the cohort · of 4,299,418page 3 of 16

Labels cover 1 of 767 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 767 of 767 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Should we use a separate knife for the skin?
O Schindler, RF Spencer, M. D. Smith
2006· article· en· Journal of Bone and Joint Surgery - British Volume· Medicine
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Surgical management of sternoclavicular joint infection
Walid Abu Arab, Ibrahim Khadragui, Vincent Échavé, Annie Deshaies, Chantal Sirois, Marco Sirois
2011· article· en· European Journal of Cardio-Thoracic Surgery· Medicine
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Deep infection after hip arthroplasty
Michael R. Whitehouse, Michael Parry, Sujith Konan, Clivе P. Duncan
2016· article· en· The Bone & Joint Journal· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · none
36
citations
affno abstractunlabeled
Letter to the editor
Mohit Bhandari, Robin R. Richards, Sheila Sprague, Emil H. Schemitsch
2001· letter· en· Controlled Clinical Trials· Medicine
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
34
citations
affunlabeled
Musculoskeletal Infection in Orthopaedic Oncology
John Strony, Scot Brown, Peter Choong, Michelle Ghert, Lee Jeys, Richard J. O’Donnell
2019· article· en· Journal of Bone and Joint Surgery· Medicine
distilled prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Diagnosing Periprosthetic Joint Infection: a Scoping Review
Aaron Gazendam, Thomas J. Wood, Daniel Tushinski, Kamal Bali
2022· review· en· Current Reviews in Musculoskeletal Medicine· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
30
citations

How this was built: Screen · Findings · About