{"id":"W2034958114","doi":"10.1007/s11883-009-0028-4","title":"Creating a genetic risk score for coronary artery disease","year":2009,"lang":"en","type":"review","venue":"Current Atherosclerosis Reports","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coronary artery disease; Medicine; Genotyping; Genome-wide association study; Genetic association; CAD; Locus (genetics); Genetics; Genetic variation; Angiology; Disease; Bioinformatics; Internal medicine; Single-nucleotide polymorphism; Genotype; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002347704,0.001368278,0.002169845,0.002289611,0.0002146682,0.001108279,0.00151177,0.0016673,0.001046982],"category_scores_gemma":[0.003422607,0.0003549123,0.0006336572,0.001743528,0.0007814461,0.0009859322,0.0007541293,0.002337975,0.001065491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921993,"about_ca_system_score_gemma":0.0009822218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033095,"about_ca_topic_score_gemma":0.002120046,"domain_scores_codex":[0.999184,0.0001973498,0.0001082213,0.0001622423,0.0003051294,0.00004297243],"domain_scores_gemma":[0.9987772,0.000682343,0.0001195564,0.00003748126,0.0003208382,0.00006248815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007415388,0.00008505296,0.002692825,0.002518604,0.0002171011,0.0002890594,0.00002920547,0.0004373817,0.001024201,0.002040923,0.01459475,0.9759969],"study_design_scores_gemma":[0.000373042,0.0007337012,0.03800732,0.009188324,0.002129002,0.01299872,0.0004322097,0.003465895,0.005352769,0.03825464,0.8887923,0.0002722402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001752611,0.9829698,0.009127674,0.002876426,0.001280275,0.00003509173,0.0001148767,0.00006855679,0.001774786],"genre_scores_gemma":[0.007459262,0.9738953,0.01358086,0.001364117,0.0019585,0.00005137198,0.0003360087,0.00001384445,0.001340792],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002347704,"threshold_uncertainty_score":0.01241601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453862406282147,"score_gpt":0.3364061767946405,"score_spread":0.2718675527318191,"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."}}