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
Multiple Sclerosis Research 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.

4,686 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.
4,686 works in the cohort · of 4,299,418page 1 of 94

Labels cover 13 of 4,686 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 4,686 of 4,686 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.

fundno affunlabeled
Defining the clinical course of multiple sclerosis
Fred Lublin, Stephen C. Reingold, Jeffrey A. Cohen, Gary Cutter, Per Soelberg Sørensen, Alan J. Thompson +26 more
2014· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
3,133
citations
affunlabeled
The prevalence of MS in the United States
Mitchell T. Wallin, William J. Culpepper, Jonathan D. Campbell, Lorene M. Nelson, Annette Langer‐Gould, Ruth Ann Marrie +9 more
2019· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
1,103
citations
fundno affunlabeled
Multiple Sclerosis Severity Score
Richard Roxburgh, Shaun R. Seaman, Thomas Masterman, Anke Hensiek, Stephen Sawcer, Sandra Vukusic +38 more
2005· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
955
citations
affunlabeled
Multiple sclerosis: clinical aspects
Jiwon Oh, Ángela Vidal‐Jordana, Xavier Montalbán
2018· review· en· Current Opinion in Neurology· Medicine
machine prediction:candidate · noneconsensus · none
605
citations
affunlabeled
Natural History of Multiple Sclerosis with Childhood Onset
Christel Renoux, Sandra Vukusic, Yann Mikaeloff, Gilles Edan, Michel Clanet, Bénédicte Dubois +12 more
2007· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
591
citations
affno abstractunlabeled
Genetics of multiple sclerosis
David A. Dyment, George C. Ebers, A. Dessa Sadovnick
2004· review· en· The Lancet Neurology· Medicine
machine prediction:candidate · noneconsensus · none
560
citations

How this was built: Screen · Findings · About