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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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Coronary Interventions and Diagnostics
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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.

2,560 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.
2,560 works in the cohort · of 4,299,418page 2 of 52

Labels cover 2 of 2,560 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 2,560 of 2,560 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
Noninvasive FFR Derived From Coronary CT Angiography
Michael T. Lu, Maros Ferencik, Rhonda Roberts, Kerry L. Lee, Alexander Ivanov, Elizabeth Adami +5 more
2017· article· en· JACC. Cardiovascular imaging· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Global Chronic Total Occlusion Crossing Algorithm
Eugene B. Wu, Emmanouil S. Brilakis, Kambis Mashayekhi, Etsuo Tsuchikane, Khaldoon Alaswad, Mario Araya +119 more
2021· review· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
230
citations
affunlabeled
Drug-Eluting Stents in Preclinical Studies
Robert S. Schwartz, Elazer R. Edelman, Renu Virmani, Andrew P. Carter, Juan F. Granada, Greg L. Kałuża +6 more
2008· article· en· Circulation Cardiovascular Interventions· Medicine
machine prediction:candidate · noneconsensus · none
218
citations
affno abstractunlabeled
Redevelopment and validation of the SYNTAX score II to individualise decision making between percutaneous and surgical revascularisation in patients with complex coronary artery disease: secondary analysis of the multicentre randomised controlled SYNTAXES trial with external cohort validation
Kuniaki Takahashi, Patrick W. Serruys, Valentı́n Fuster, Michael E. Farkouh, John A. Spertus, David J. Cohen +10 more
2020· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
201
citations
affvenueno abstractunlabeled
The Evolution of Coronary Stents: A Brief Review
Trevor Simard, Benjamin Hibbert, F. Daniel Ramirez, Michael Froeschl, Yong-Xiang Chen, Edward R. O’Brien
2013· review· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
157
citations
affno abstractunlabeled
Coronary Heart Disease in Patients With Diabetes
Colin Berry, Jean‐Claude Tardif, Martial G. Bourassa
2007· review· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
153
citations
affno abstractunlabeled
Platelets and restenosis
Baskaran Chandrasekar, Jean‐François Tanguay
2000· review· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
152
citations

How this was built: Screen · Findings · About