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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 Obesity and Metabolism
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Retraction
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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.

602 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.
602 works in the cohort · of 4,299,418page 7 of 13

Labels cover 1 of 602 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 602 of 602 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
Metabolomics applied to islet nutrient sensing mechanisms
Mette V. Jensen, Jessica Gooding, Mourad Ferdaoussi, Xiao‐Qing Dai, Brett S. Peterson, Patrick E. MacDonald +1 more
2017· review· en· Diabetes Obesity and Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Comparative efficacy of <scp>sodium‐glucose</scp> co‐transporter‐2 inhibitors, <scp>glucagon‐like</scp> peptide‐1 receptor agonists and non‐steroidal mineralocorticoid receptor antagonists in chronic kidney disease and type 2 diabetes: A systematic review and network <scp>meta‐analysis</scp>
Nguyen Bao Ngoc, Le Kim Chi Nguyen, Shweta Mital, Shawn Bugden, Hai V. Nguyen
2023· review· en· Diabetes Obesity and Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Cardiorenal outcomes by indices of liver steatosis and fibrosis in individuals with type 2 diabetes and atherosclerotic cardiovascular disease: Analyses from <scp>VERTIS CV</scp> , a randomized trial of the <scp>sodium‐glucose cotransporter‐2</scp> inhibitor ertugliflozin
Karen D. Corbin, Samuel Dagogo‐Jack, Christopher P. Cannon, David Z.I. Cherney, Francesco Cosentino, Robert Frederich +5 more
2022· article· en· Diabetes Obesity and Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About