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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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Epilepsy research and treatment
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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.

4,058 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.
4,058 works in the cohort · of 4,299,418page 35 of 82

Labels cover 5 of 4,058 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 4,058 of 4,058 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
Who is a surgical candidate?
Jerome Engel, Samuel Wiebe
2012· review· en· Handbook of clinical neurology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
The role of neurosurgery in status epilepticus
Yu‐Tze Ng, Ruth E. Bristol, Dewi Schrader, Kris A. Smith
2007· article· en· Neurocritical Care· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
A systematic review of clinical decision rules for epilepsy
Colin B. Josephson, Sherry Sandy, Nathalie Jetté, Tolulope T. Sajobi, Deborah A. Marshall, Samuel Wiebe
2016· review· en· Epilepsy & Behavior· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Role of Video-EEG in Children
Lakshminarayanan Kannan, Puneet Jain, Dinesh Nayak
2021· review· en· The Indian Journal of Pediatrics· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Coprolalia as a manifestation of epileptic seizures
Andreu Massot‐Tarrús, Seyed Reza Mousavi, Carin Dove, Susan Hayman-Abello S., Brent Hayman-Abello, Paul A. Derry +5 more
2016· article· en· Epilepsy & Behavior· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Infantile Spasms
Lionel Carmant
2002· article· en· Archives of Neurology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Is There Such a Thing as “Generalized” Epilepsy?
Gilles van Luijtelaar, Charles Behr, Massimo Avoli
2014· review· en· Advances in experimental medicine and biology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Magnetic Resonance Imaging in Pediatric Epilepsy
Nathaniel A. Chuang, Hiroshi Otsubo, Sylvester H. Chuang
2002· review· en· Topics in Magnetic Resonance Imaging· Medicine
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About