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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
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 ·
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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 21 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
Predictors of disability worsening in clinically isolated syndrome
Vilija Jokubaitis, Tim Spelman, Tomáš Kalinčík, Guillermo Izquierdo, François Grand’Maison, Pierre Duquette +30 more
2015· article· en· Annals of Clinical and Translational Neurology· Medicine
machine prediction:candidate · noneconsensus · none
50
citations
fundno affno abstractgpt · no categorygrok · no categoryopus · no categorymodels agree
Relapses in multiple sclerosis: Relationship to disability
Douglas S. Goodin, Anthony T. Reder, Robert Bermel, Gary Cutter, Robert J. Fox, Gareth John +8 more
2015· review· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
49
citations
afffundunlabeled
Monocyte-derived cytokines in multiple sclerosis
L G Filion, Gina M. Graziani-Bowering, Darius Matusevičius, Mark S. Freedman
2003· article· en· Clinical & Experimental Immunology· Medicine
machine prediction:candidate · noneconsensus · none
49
citations
affaboutunlabeled
Season of birth in multiple sclerosis
A. Dessa Sadovnick, Irene M. Yee
2009· article· en· Acta Neurologica Scandinavica· Medicine
machine prediction:candidate · noneconsensus · none
48
citations
affno abstractunlabeled
Pharmacological Treatment of Early Multiple Sclerosis
Olaf Stüve, Jeffrey L. Bennett, Bernhard Hemmer, Heinz Wiendl, Michael K. Racke, Amit Bar‐Or +9 more
2008· review· en· Drugs· Medicine
machine prediction:candidate · noneconsensus · none
48
citations
afffundunlabeled
Quantitative spinal cord MRI in radiologically isolated syndrome
Paula Alcaide‐Leon, Kateryna Cybulsky, Stephanie Sankar, Courtney Casserly, General Leung, Marika Hohol +4 more
2018· article· en· Neurology Neuroimmunology & Neuroinflammation· Medicine
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Frailty in ageing persons with multiple sclerosis
Xavier Ayrignac, Catherine Larochelle, Mark R. Keezer, Élaine Roger, Josée Poirier, Boaz Lahav +3 more
2020· article· en· Multiple Sclerosis Journal· Medicine
machine prediction:candidate · noneconsensus · none
48
citations

How this was built: Screen · Findings · About