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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
Abstract
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Label agreement
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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
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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 44 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.

affno abstractunlabeled
Evaluating the clinical effectiveness of autologous haematopoietic stem cell transplantation versus disease-modifying therapy in multiple sclerosis using a matching-adjusted indirect comparison: an exploratory study from the Autoimmune Diseases Working Party (ADWP) of the European Society of Bone and Marrow Transplantation (EBMT)
Paul Tappenden, Y. Wang, Basil Sharrack, Joachim Burman, M Kazmi, Riccardo Saccardi +5 more
2019· letter· en· Bone Marrow Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundaboutunlabeled
Congenital Abnormalities and Multiple Sclerosis
Sreeram V. Ramagopalan, Colleen Guimond, Maria Criscuoli, David A. Dyment, Sarah-Michelle Orton, Irene M. Yee +2 more
2010· article· en· BMC Neurology· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Biosensors to monitor MS activity
Jennifer Graves, Xavier Montalbán
2020· review· en· Multiple Sclerosis Journal· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Socioeconomic status and access to multiple sclerosis treatment in Mexico
Enrique Gómez‐Figueroa, Adib Jorge de Saráchaga, Christian García‐Estrada, Adriana Casallas‐Vanegas, Guillermo Delgado‐García, Paola Garcia-Martinez +6 more
2021· article· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affvenueaboutunlabeled
Multiple Sclerosis Mortality Rates in Canada, 1975-2009
Sharon Warren, Wonita Janzen, Kenneth G. Warren, Lawrence W. Svenson, Donald Schopflocher
2015· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Disparities in Telehealth Care in Multiple Sclerosis
Ruth Ann Marrie, Leanne Kosowan, Gary Cutter, Robert J. Fox, Amber Salter
2022· article· en· Neurology Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About