{"id":"W2136428841","doi":"10.1186/1753-6561-8-s1-s72","title":"Bivariate genetic association analysis of systolic and diastolic blood pressure by copula models","year":2014,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Memorial University of Newfoundland; Mount Sinai Hospital; Public Health Ontario; University of Toronto","funders":"National Institute of General Medical Sciences; Mitacs; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Division of Mathematical Sciences; National Institutes of Health; Texas Biomedical Research Institute","keywords":"Bivariate analysis; Copula (linguistics); Univariate; Blood pressure; Inference; Genetic association; Correlation; Medicine; Pedigree chart; Internal medicine; Genome-wide association study; Tail dependence; Regression; Genetic model; Multivariate statistics; Cardiology; Statistics; Econometrics; Gene; Genetics; Biology; Mathematics; Single-nucleotide polymorphism; Computer science; Genotype; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008782358,0.0009325383,0.001698272,0.001846397,0.0004642086,0.001108306,0.001278778,0.0005865177,0.003211884],"category_scores_gemma":[0.03656941,0.0005619148,0.001984957,0.002452125,0.0007220388,0.0008881408,0.001409831,0.001372137,0.0007875406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004403896,"about_ca_system_score_gemma":0.001101045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007495174,"about_ca_topic_score_gemma":0.004700237,"domain_scores_codex":[0.9944682,0.003987484,0.0001348079,0.0007678708,0.0003759278,0.0002657234],"domain_scores_gemma":[0.9806628,0.01456717,0.001356888,0.002291701,0.0007834538,0.0003379071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00080964,0.0004251293,0.250685,0.0002686492,0.004539536,0.001863489,0.001156915,0.5333179,0.008064352,0.08056063,0.006515395,0.1117935],"study_design_scores_gemma":[0.000050913,0.00009289423,0.02570082,0.00001689588,0.000307074,0.0002717341,0.00007222319,0.9516086,0.0007638222,0.01988145,0.001188278,0.00004527493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2175504,0.0004339833,0.7789171,0.000340645,0.0000368596,0.00007887602,0.0007646243,0.0005432577,0.001334172],"genre_scores_gemma":[0.8862074,0.0005520028,0.1097195,0.0001039098,0.00006894408,0.0002615037,0.001159684,0.0002118841,0.001714981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008782358,"threshold_uncertainty_score":0.04644608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007787929730823063,"score_gpt":0.22249267865327,"score_spread":0.2147047489224469,"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."}}