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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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Clinical Neurophysiology
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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.

769 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.
769 works in the cohort · of 4,299,418page 1 of 16

Labels cover 0 of 769 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 769 of 769 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
Electrodiagnostic criteria for diagnosis of ALS
Mamede de Carvalho, Reinhard Dengler, Andrew Eisen, John D. England, Ryuji Kaji, Jun Kimura +5 more
2008· review· nl· Clinical Neurophysiology· Medicine
machine prediction:candidate · noneconsensus · none
1,177
citations
affno abstractunlabeled
TMS and drugs revisited 2014
Ulf Ziemann, Janine Reis, Peter Schwenkreis, Mario Rosanova, Antonio P. Strafella, Radwa A.B. Badawy +1 more
2014· review· en· Clinical Neurophysiology· Neuroscience
machine prediction:candidate · noneconsensus · none
678
citations
affunlabeled
A proposal for new diagnostic criteria for ALS
Jeremy M. Shefner, Ammar Al‐Chalabi, Mark R. Baker, Liying Cui, Mamede de Carvalho, Andrew Eisen +17 more
2020· article· de· Clinical Neurophysiology· Medicine
machine prediction:candidate · noneconsensus · none
574
citations
afffundno abstractunlabeled
Clinical utility and prospective of TMS–EEG
Sara Tremblay, Nigel C. Rogasch, Isabella Premoli, Daniel M. Blumberger, Silvia Casarotto, Robert Chen +16 more
2019· review· en· Clinical Neurophysiology· Neuroscience
machine prediction:candidate · noneconsensus · none
486
citations
afffundno abstractunlabeled
The clinical utility of posturography
Jasper E. Visser, Mark G. Carpenter, Herman van der Kooij, Bastiaan R. Bloem
2008· review· en· Clinical Neurophysiology· Health Professions
machine prediction:candidate · noneconsensus · none
482
citations
affno abstractunlabeled
The neurophysiology of brain injury
Michael Gaetz
2003· review· en· Clinical Neurophysiology· Medicine
machine prediction:candidate · noneconsensus · none
405
citations
affno abstractunlabeled
EEG in Creutzfeldt–Jakob disease
Heinz Gregor Wieser, Kaspar Schindler, Dominik Zumsteg
2006· review· en· Clinical Neurophysiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
301
citations
affno abstractunlabeled
Quality of EEG in simultaneous EEG-fMRI for epilepsy
Christian Bénar, Yahya Aghakhani, Yunhua Wang, Aaron Izenberg, Abdullah Al‐Asmi, François Dubeau +1 more
2003· article· en· Clinical Neurophysiology· Medicine
machine prediction:candidate · noneconsensus · none
257
citations
affno abstractunlabeled
The correction of ocular artifacts: a topographic perspective
Terence W. Picton, Patricia Van Roon, Maria L. Armilio, Patrick Berg, Nicole Ille, Michael Scherg
2000· article· en· Clinical Neurophysiology· Neuroscience
machine prediction:candidate · noneconsensus · none
219
citations

How this was built: Screen · Findings · About