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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 and Related Disorders
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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
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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.

487 results · 1 filter active ·
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20102025
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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.
487 works in the cohort · of 4,299,418page 10 of 10

Labels cover 4 of 487 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 487 of 487 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
Reply to letter to the editor
Hilda J.I. de Jong, Helen Tremlett, Feng Zhu, Alberto Ascherio, Kassandra L. Munger
2019· letter· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
FROM BENCH TO BEDSIDE: A SNAIL IN TREACLE?
Christopher H. Hawkes, Gavin Giovannoni, Michael Levy, Ann Ming Yeh
2024· editorial· en· Multiple Sclerosis and Related Disorders· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Results from a multiple sclerosis relapse clinic
Mullan Gerry, Rachael Kee, Fiona Kennedy, Stella Hughes, Gavin McDonnell
2025· article· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstract1/3 metaresearchunlabeled
Large language models in academic writing
E. Ann Yeh, Michael Levy, C. H Hawkes, Jeannette Lechner-Scott, Gavin Giovannoni
2025· article· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Vitamin D- should we all take it?
Jeannette Lechner‐Scott, E. Ann Yeh, Christopher Hawkes, Gavin Giovannoni, Michael Levy
2025· editorial· en· Multiple Sclerosis and Related Disorders· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Mura urbane di Busca
Silvia Beltramo
2010· article· en· Multiple Sclerosis and Related Disorders· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About