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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
Retraction
Abstract
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Label agreement
Label status

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
venuejournal
aboutaboutness

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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Categories
Machine labels · sparse coverage
Evidence
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Citations
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 63 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
Awake Craniotomy
Pirjo Manninen, Tze Yeng Yeoh
2017· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
Epilepsie in einem ländlichen Krankenhaus in Afrika
Andrea Sylvia Winkler, Matthias Schaffert, Erich Schmutzhard
2008· article· de· Zeitschrift für Epileptologie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Preface
André Olivier, Warren Boling, Taner Tanrıverdi
2012· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Introduction and Overview
Orrin Devinsky, Peter Camfield
2006· article· en· Epilepsia· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Hot-water epilepsy
P Satishchandra, Sanjib Sinha, Amit Anand
2011· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Peter Kellaway, Ph.D. 1920–2003
Eli M. Mizrahi
2003· article· en· Epilepsia· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Approach to: Febrile seizures
Anita Dabirzadeh
2021· article· en· McGill Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Risk of Seizures with Ciprofloxacin
Karen Shalansky, John Macready
2018· article· en· The Canadian Journal of Hospital Pharmacy· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Continuous EEG Monitoring in Canadian Hospitals
Naomi Niznick, Hanna Tang, Julie Kromm, Victoria McCredie, Jay R. Gavvala, Marcus Ng +1 more
2025· article· en· Neurology Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About