{"id":"W2549929189","doi":"10.1186/s12919-016-0045-6","title":"Genetic association analysis based on a joint model of gene expression and blood pressure","year":2016,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Faculty of Medicine, Memorial University of Newfoundland; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Univariate; Genetic association; Genome-wide association study; Computational biology; Copula (linguistics); Gene; Association test; Single-nucleotide polymorphism; Data mining; Genetics; Bioinformatics; Computer science; Biology; Multivariate statistics; Mathematics; Machine learning; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003365169,0.0001157952,0.0002224138,0.00009286933,0.00004678015,0.000007923973,0.00008138185,0.0002086554,0.000008913225],"category_scores_gemma":[0.0005511412,0.00008353522,0.0001112604,0.0001084458,0.0000259769,0.000003040736,0.0000431624,0.0000343144,0.000001013636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001049767,"about_ca_system_score_gemma":0.00004057024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005475936,"about_ca_topic_score_gemma":0.000004468928,"domain_scores_codex":[0.9990676,0.00002490954,0.0002524414,0.0003292495,0.0001404782,0.0001853059],"domain_scores_gemma":[0.9993019,0.00003032391,0.0002957671,0.0001301946,0.0001828852,0.00005893832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002261368,0.0000394222,0.3481011,0.00001494527,0.0001415352,2.520384e-8,0.00001571849,0.001682183,0.6494822,0.00001474523,0.0004088883,0.0000766434],"study_design_scores_gemma":[0.001467241,0.0003729445,0.4118477,0.00003468604,0.001391032,9.98775e-7,0.00002351288,0.05572418,0.5283072,0.0002941846,0.0002716529,0.0002646959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768044,0.0001958333,0.02230722,0.0001758924,0.00001592672,0.0001218373,0.00004697916,0.000009115262,0.0003228018],"genre_scores_gemma":[0.9741059,0.00006714291,0.02505006,0.00009753428,0.00005884995,0.00002924857,0.00001097766,0.00001134356,0.0005689351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.121175,"threshold_uncertainty_score":0.3406467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454608217475595,"score_gpt":0.2290725187858799,"score_spread":0.2145264366111239,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}