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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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Cardiovascular Syncope and Autonomic Disorders
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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.

1,208 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.
1,208 works in the cohort · of 4,299,418page 3 of 25

Labels cover 6 of 1,208 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 1,208 of 1,208 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
Unconscious Confusion
Roland D. Thijs, David G. Benditt, Christopher J. Mathias, Ronald Schondorf, Richard Sutton, Wouter Wieling +1 more
2005· review· en· Clinical Autonomic Research· Medicine
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Sinus Tachycardia: a Multidisciplinary Expert Focused Review
Kenneth A. Mayuga, Artur Fedorowski, Fabrizio Ricci, Rakesh Gopinathannair, Jonathan W. Dukes, Christopher H. Gibbons +26 more
2022· review· en· Circulation Arrhythmia and Electrophysiology· Medicine
machine prediction:candidate · noneconsensus · none
52
citations
affno abstractunlabeled
High Remission Rates in Vasovagal Syncope
Payam Pournazari, Inderjeet S. Sahota, Robert S. Sheldon
2016· review· en· JACC. Clinical electrophysiology· Medicine
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Outcomes in Presyncope Patients: A Prospective Cohort Study
Venkatesh Thiruganasambandamoorthy, Ian G. Stiell, George A. Wells, Aparna Vaidyanathan, Muhammad Mukarram, Monica Taljaard
2014· article· en· Annals of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Twenty-five years of research on syncope
Artur Fedorowski, Piotr Kułakowski, Michele Brignole, Frederik J. de Lange, Rose Anne Kenny, Giulia Rivasi +4 more
2023· article· en· EP Europace· Medicine
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Cardiac Clocks and Preclinical Translation
Priya Mistry, Austin Duong, Lorrie A. Kirshenbaum, Tami A. Martino
2017· review· en· Heart Failure Clinics· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affgemma · no categorygpt · no categorymodels split
Did This Patient Have Cardiac Syncope?
Omar T. Albassam, Robert J. Redelmeier, Steven Shadowitz, Aatif M. Husain, David L. Simel, Edward Etchells
2019· review· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
43
citations

How this was built: Screen · Findings · About