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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
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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 2 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
Advances in the development of biomarkers for epilepsy
Asla Pitkänen, Wolfgang Löscher, Annamaria Vezzani, Albert J. Becker, Michele Simonato, Katarzyna Łukasiuk +9 more
2016· review· en· The Lancet Neurology· Medicine
machine prediction:candidate · noneconsensus · none
364
citations
affno abstractunlabeled
Mortality in Dravet syndrome
Monica S. Cooper, Anne M. McIntosh, Douglas E. Crompton, Jacinta M. McMahon, Amy Schneider, K Farrell +10 more
2016· article· en· Epilepsy Research· Medicine
machine prediction:candidate · noneconsensus · none
311
citations
affunlabeled
Epilepsy biomarkers
Jerome Engel, Asla Pitkänen, Jeffrey A. Loeb, F. Edward Dudek, Edward H. Bertram, Andrew J. Cole +6 more
2013· review· en· Epilepsia· Medicine
machine prediction:candidate · noneconsensus · none
275
citations
affunlabeled
Febrile seizures: an overview
Alexander K. C. Leung, Kam‐Lun Ellis Hon, T. N. Leung
2018· review· nl· Drugs in Context· Medicine
machine prediction:candidate · noneconsensus · none
262
citations
aboutno affunlabeled
Cognitive Assessment for Clinicians
2017· review· en· Oxford University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
262
citations
afffundunlabeled
High‐Frequency Oscillations in the Normal Human Brain
Birgit Frauscher, Nicolás von Ellenrieder, Rina Zelmann, Christine Rogers, Dang Khoa Nguyen, Philippe Kahane +2 more
2018· article· en· Annals of Neurology· Medicine
machine prediction:candidate · noneconsensus · none
240
citations
affunlabeled
The landscape of epilepsy-related GATOR1 variants
Sara Baldassari, Fabienne Picard, Nienke E. Verbeek, Marjan van Kempen, Eva H. Brilstra, Gaëtan Lesca +82 more
2018· article· en· Genetics in Medicine· Medicine
machine prediction:candidate · noneconsensus · none
239
citations

How this was built: Screen · Findings · About