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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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Lipoproteins and Cardiovascular Health
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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
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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.

3,195 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.
3,195 works in the cohort · of 4,299,418page 30 of 64

Labels cover 13 of 3,195 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 3,195 of 3,195 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
Patients' achievement of cholesterol targets
Kari L. Olson, Ross T. Tsuyuki
2003· article· en· American Journal of Preventive Medicine· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Undertreatment of hypercholesterolemia
Stella S. Daskalopoulou, Robert J. Doonan, Dimitri P. Mikhailidis
2009· letter· en· Current Medical Research and Opinion· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
State-of-the-Art-Review : Statins Induce Hypothrombotic States?
John W. Fenton, Garry X. Shen, Fred L. Minnear, Diane V. Brezniak, Jeanine M. Walenga, John Bognacki +1 more
2000· review· en· Clinical and Applied Thrombosis/Hemostasis· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
Lp(a): A Rapidly Evolving Therapeutic Landscape
Khalil Anchouche, George Thanassoulis
2024· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Statins: the Panacea of Cirrhosis?
Lourdes Cabrera, Juan G. Abraldeṣ
2016· article· en· Current Hepatology Reports· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
The cost implication of primary prevention in the HOPE 3 trial
André Lamy, Eva Lonn, Wesley Tong, Balakumar Swaminathan, Hyejung Jung, Amiram Gafni +2 more
2019· article· en· European Heart Journal - Quality of Care and Clinical Outcomes· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
The Case for Statins: Has it Really been Made?
Andrew Thompson, Norman J. Temple
2004· article· en· Journal of the Royal Society of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affno abstractunlabeled
Spanish Interdisciplinary Committee for Cardiovascular Disease Prevention and the Spanish Society of Cardiology Position Statement on Dyslipidemia Management. Differences Between the European and American Guidelines
José María Lobos Bejarano, Enrique Galve, Miguel Ángel Royo‐Bordonada, Eduardo Alegría Ezquerra, Pedro Armario, Carlos Brotons Cuixart +8 more
2014· article· en· Revista Española de Cardiología (English Edition)· Medicine
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About