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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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Diabetes, Cardiovascular Risks, and Lipoproteins
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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.

2,212 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.
2,212 works in the cohort · of 4,299,418page 23 of 45

Labels cover 11 of 2,212 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 2,212 of 2,212 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.

affunlabeled
Obésité et maladies cardiovasculaires
Paul Poirier, Jean‐Pierre Després
2003· review· fr· médecine/sciences· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Treatment options for low high-density lipoproteins
Anouar Hafiane, Samantha Kellett, Jacques Genest
2014· review· en· Current Opinion in Endocrinology Diabetes and Obesity· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
A study of lipid profile Levels of Type II Diabetes Mellitus
Murwan K Sabahelkhier, Mohammed Ali Awadllah, Atif Saeed Mohammed Idrees, Ali Abdel-Ghaffar Abel Rahheem Mohammed, Mohammed Abdel Rahman Idris
2016· article· en· Nova Journal of Medical and Biological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Trends in diabetes
Nihar R. Pandey, Vineet Gupta
2007· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About