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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.

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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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Genetic Neurodegenerative Diseases
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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.

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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.

3,015 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.
3,015 works in the cohort · of 4,299,418page 26 of 61

Labels cover 8 of 3,015 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 3,015 of 3,015 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.

fundno affunlabeled
Postgresql: Developer's Handbook
Ewald Geschwinde, Hans-Juergen Schonig
2001· book· en· Human Molecular Genetics· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
18
citations
fundno affunlabeled
Clinical measures of dysarthria in Friedreich Ataxia
Arunjot Singh, Elizabeth Epstein, Lauren Myers, Jennifer Farmer, David R. Lynch
2009· article· en· Movement Disorders· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
aboutno affunlabeled
Clinical Application of Whole-Exome Sequencing
Wendy Liew, Tawfeg Ben‐Omran, Basil T. Darras, Sanjay P. Prabhu, Darryl C. De Vivo, Matteo Vatta +3 more
2013· article· en· JAMA Neurology· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
aboutno affunlabeled
Digital assessment of speech in Huntington disease
Adonay S. Nunes, Meghan Pawlik, Ram Kinker Mishra, Emma Waddell, Madeleine Coffey, Christopher G. Tarolli +4 more
2024· article· en· Frontiers in Neurology· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
fundno affunlabeled
Huntingtin Exists as Multiple Splice Forms in Human Brain
Matthew Mort, Francesca A. Carlisle, Adrian J. Waite, Lyn Elliston, Nicholas D. Allen, Lesley Jones +1 more
2015· article· en· Journal of Huntington s Disease· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
affvenueunlabeled
An Unusual Case of Myelopathy: Surfer's Myelopathy
Perry Dhaliwal, Aleksa Cenic, Muneer Eesa, S. du Plessis
2011· article· fr· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
venueno affunlabeled
Multimodal Evoked Potentials of Kennedy's Disease
Tsu-Hsien Lai, Bing‐Wen Soong, Jen-Tse Chen, Yen‐Yu Chen, Kuan‐Lin Lai, Zin‐An Wu +1 more
2007· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Neuroscience
machine prediction:candidate · noneconsensus · none
16
citations
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