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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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Genetic Associations and Epidemiology
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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.

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 18 of 64

Labels cover 10 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.

afffundno abstractunlabeled
Lessons Learned from Bugs in Models of Human History
Aaron P. Ragsdale, Dominic Nelson, Simon Gravel, Jerome Kelleher
2020· article· en· The American Journal of Human Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
38
citations
affunlabeled
Genome-Wide Association Analysis of Ischemic Stroke in Young Adults
Yu-Ching Cheng, Jeffrey R. O’Connell, John W. Cole, O. Colin Stine, Nicole Dueker, Patrick F. McArdle +22 more
2011· article· en· G3 Genes Genomes Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
afffundunlabeled
The genetics of coronary artery disease
Robert Roberts, Alexandre F.R. Stewart
2012· review· en· Current Opinion in Cardiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
afffundaboutunlabeled
Adiposity significantly modifies genetic risk for dyslipidemia
C. B. Cole, Majid Nikpay, Paulina Lau, Alexandre F.R. Stewart, R. W. Davies, George A. Wells +2 more
2014· article· en· Journal of Lipid Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
afffundunlabeled
ACE and Type 2 Diabetes Risk: A Mendelian Randomization Study
Marie Pigeyre, Jennifer Sjaarda, Michael Chong, Sibylle Hess, Jackie Bosch, Salim Yusuf +2 more
2020· review· en· Diabetes Care· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Strategies for Pathway Analysis Using GWAS and WGS Data
Marquitta J. White, Brian L. Yaspan, Olivia J. Veatch, Pagé C. Goddard, Oona Risse‐Adams, María G. Contreras
2018· article· en· Current Protocols in Human Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Dissecting the Genetic Heterogeneity of Depression Through Age at Onset
Robert A. Power, Robert Keers, Mandy Ng, Amy W. Butler, Rudolf Uher, Sarah Cohen‐Woods +29 more
2012· article· en· American Journal of Medical Genetics Part B Neuropsychiatric Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
kruX: matrix-based non-parametric eQTL discovery
Jianlong Qi, Hassan Foroughi Asl, Johan Björkegren, Tom Michoel
2014· article· en· BMC Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Longitudinal data analysis in pedigree studies
W. James Gauderman, Stuart MacGregor, Laurent Briollais, Katrina J. Scurrah, Martin D. Tobin, Taesung Park +4 more
2003· article· en· Genetic Epidemiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Part II: A step-by-step guide to latent class analysis
Kayvan Aflaki, Simone N. Vigod, Joel G. Ray
2023· article· en· Journal of Clinical Epidemiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Polygenic Risk Score for Alzheimer's Disease in Caribbean Hispanics
Sanjeev Sariya, Daniel Felsky, Dolly Reyes‐Dumeyer, Ricky Lali, Rafael Lantigua, Badri N. Vardarajan +7 more
2021· article· en· Annals of Neurology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
36
citations

How this was built: Screen · Findings · About