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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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Metabolism, Diabetes, and Cancer
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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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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.

1,632 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.
1,632 works in the cohort · of 4,299,418page 11 of 33

Labels cover 5 of 1,632 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 1,632 of 1,632 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
Metformin and its Liver Targets in the Treatment of Type 2 Diabetes
J. Radziuk, Clifford J. Bailey, Nicolas Wiernsperger, John Yudkin
2003· review· en· Current Drug Targets - Immune Endocrine & Metabolic Disorders· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
47
citations
afffundunlabeled
Risk of Breast Cancer After Onset of Type 2 Diabetes
Samantha L. Bowker, Kathryn Richardson, Carlo A. Marra, Jeffrey Johnson
2011· article· en· Diabetes Care· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism
Dudley W. Lamming, Mohamed A. Soliman, Kıvanç Birsoy, Judy Pawling, María E. Frigolet, Huogen Lu +6 more
2013· article· en· DSpace@MIT (Massachusetts Institute of Technology)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
45
citations
affno abstractunlabeled
Sensing and responding to energetic stress: Evolution of the AMPK network
Paul M. Craig, Christopher D. Moyes, Christophe M. R. LeMoine
2017· review· en· Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
45
citations
fundno affno abstractunlabeled
AMPK couples p73 with p53 in cell fate decision
Yaarit Adamovich, Julia Adler, V Meltser, Nina Reuven, Yosef Shaul
2014· article· en· Cell Death and Differentiation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
44
citations
afffundunlabeled
Measuring GLUT4 translocation in mature muscle fibers
Hans P.M.M. Lauritzen, Jonathan D. Schertzer
2010· review· en· American Journal of Physiology-Endocrinology and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
43
citations
afffundno abstractunlabeled
The Role of AMPK in Neuromuscular Biology and Disease
Athan G. Dial, Sean Y. Ng, Alexander Manta, Vladimir Ljubicic
2018· review· en· Trends in Endocrinology and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
42
citations

How this was built: Screen · Findings · About