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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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Acute Myocardial Infarction Research
Retraction
Abstract
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Study design
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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.

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.

2,724 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.
2,724 works in the cohort · of 4,299,418page 54 of 55

Labels cover 11 of 2,724 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 2,724 of 2,724 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.

affvenueno abstractunlabeled
N002 Winning the race with rhythm and form
M. Morgan, Frank Halperin
2011· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueno abstractunlabeled
The Day When Coronary Stents Ruined Everything
Jeremy Ben‐Shoshan, E. Marc Jolicœur
2018· letter· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Heparin Use in Daily Hemodialysis
Janey Hynes, Timothy McComb, Bessie A. Young
2004· article· en· Hemodialysis International· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acute coronary syndrome without ST elevation (NSTEMI)
Niković Vuk, Savović Slavko, Milena Radunović, Bulajić Ranka, Vujović Mirko, Dušan Milenković
2016· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
INSIGHTS FROM REGISTRY DATA: WHY DO BLEEDING HEARTS DIE?
Cara Hendry, Christian Janßen, Brian Berry, Ronald Carere, Anthony Fung, Gerald J. Simkus +2 more
2014· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In Reply
A Honarmand, Mohammad Jalili, Zia Hejripour, Nasim Pourtabatabaei
2013· letter· en· Academic Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About