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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 Journal
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

655 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
655 works in the cohort · of 4,299,418page 4 of 14

Labels cover 3 of 655 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 655 of 655 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundaboutunlabeled
Social anxiety in a multiple sclerosis clinic population
K. Poder, Kayhan Ghatavi, John D. Fisk, Campbell Tl, Steve Kisely, I Sarty +2 more
2008· article· en· Multiple Sclerosis Journal· Medicine
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
57
citations
affunlabeled
A roadmap to precision medicine for multiple sclerosis
Tanuja Chitnis, Alexandre Prat
2020· review· en· Multiple Sclerosis Journal· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrityconsensus · metaepi_narrow
49
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
distilled prediction:candidate · metaepi_narrowconsensus · none
48
citations
affunlabeled
Prolactin in multiple sclerosis
Simon Zhornitsky, V. Wee Yong, Samuel Weiss, Luanne M. Metz
2012· review· en· Multiple Sclerosis Journal· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · metaepi_narrow+research_integrity
46
citations

How this was built: Screen · Findings · About