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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.

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Multiple Sclerosis Research Studies
Retraction
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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
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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 ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 26 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.

affunlabeled
Carnitine for fatigue in multiple sclerosis
Aaron M Tejani, Michael Wasdell, Rae Spiwak, Greg Rowell, Shabita Nathwani
2012· review· en· Cochrane Database of Systematic Reviews· Medicine
machine prediction:candidate · noneconsensus · none
39
citations
afffundunlabeled
Screening Tools for Anxiety in People with Multiple Sclerosis
Brittany Litster, Kirsten M. Fiest, Scott B. Patten, John D. Fisk, John R. Walker, Lesley A. Graff +10 more
2016· article· en· International Journal of MS Care· Medicine
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Pathways to cures for multiple sclerosis: A research roadmap
Bruce F. Bebo, Mark Allegretta, Douglas Landsman, Kathleen M. Zackowski, Fiona Brabazon, Walter A. Kostich +6 more
2022· article· en· Multiple Sclerosis Journal· Medicine
machine prediction:candidate · noneconsensus · none
38
citations
afffundaboutunlabeled
Parent-of-origin effect in multiple sclerosis
S. V. Ramagopalan, Irene M. Yee, David A. Dyment, Sarah Orton, Ruth Ann Marrie, A. Dessa Sadovnick +1 more
2009· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
38
citations
afffundno abstractunlabeled
Time between expanded disability status scale (EDSS) scores
Jonathan Zurawski, Bonnie I. Glanz, Alicia S. Chua, Hrishikesh Lokhande, Dalia Rotstein, Howard L. Weiner +3 more
2019· article· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Progressive MS: from pathophysiology to drug discovery
Marco Salvetti, Douglas Landsman, Peter Schwarz-Lam, Gıancarlo Comı, Alan J. Thompson, Robert J. Fox
2015· review· en· Multiple Sclerosis Journal· Medicine
machine prediction:candidate · noneconsensus · none
37
citations

How this was built: Screen · Findings · About