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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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Cholesterol and Lipid Metabolism
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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.

1,156 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.
1,156 works in the cohort · of 4,299,418page 14 of 24

Labels cover 2 of 1,156 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 1,156 of 1,156 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.

afffundunlabeled
Increased ABCA1 activity protects against atherosclerosis
Roshni R. Singaraja, Catherine Fiévet, Graciela Castro, E. James, Nathalie Hennuyer, Susanne M. Clee +6 more
2002· article· en· Journal of Clinical Investigation· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Clinical utility gene card for: Sitosterolaemia
Amanda J. Hooper, Damon A. Bell, Robert A. Hegele, John R. Burnett
2016· article· en· European Journal of Human Genetics· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Genetics of Cholesterol Efflux
Iulia Iatan, Aurélien Palmyre, Sarah Alrasheed, Isabelle L. Ruel, Jacques Genest
2012· review· en· Current Atherosclerosis Reports· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Is Plant Sterols a Good Strategy to Lower Cholesterol?
Yu‐Wei Chen, Yongbo She, Ramandeep Kaur, Na Guo, Xiaohua Zhang, Ruisan Zhang +1 more
2019· review· en· Journal of Oleo Science· Medicine
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About