{"id":"W4312532285","doi":"10.20517/jtgg.2022.07","title":"Genetic risk and its role in primary prevention of CAD","year":2022,"lang":"en","type":"article","venue":"Journal of Translational Genetics and Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian HIV Trials Network, Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Medicine; Coronary artery disease; Statin; Disease; Risk assessment; Genetic predisposition; Genetic testing; Internal medicine; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005038078,0.00007477176,0.0001733152,0.00008400649,0.00006617756,0.000004295235,0.00008046293,0.00006153255,0.000009382637],"category_scores_gemma":[0.00002181828,0.00007954403,0.00006279037,0.00005440664,0.00002770827,0.000002412635,0.00004966348,0.0001190703,1.108627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490641,"about_ca_system_score_gemma":0.0001357542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005095908,"about_ca_topic_score_gemma":0.00001863093,"domain_scores_codex":[0.9990683,0.0001327126,0.0004682204,0.0001181947,0.0001121231,0.0001005115],"domain_scores_gemma":[0.9994472,0.00002950271,0.0003459844,0.00006087494,0.00007265151,0.0000438101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002665143,0.0001884552,0.6593102,0.00003627358,0.0001593206,0.000002639017,0.0005754003,0.1144777,0.1892813,0.0001114846,0.00006927627,0.03552147],"study_design_scores_gemma":[0.001012956,0.0005987209,0.9859604,0.000004318483,0.00005534057,0.00007827051,0.0001275457,0.002463576,0.000893623,0.003392751,0.005307803,0.0001047179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778483,0.02070927,0.00103665,0.0001202885,0.00005851188,0.00009219578,0.00006129577,4.179859e-7,0.0000730561],"genre_scores_gemma":[0.9857962,0.006412737,0.007598494,0.00004723434,0.00007890273,0.000003282331,0.00001753472,0.000008715736,0.00003697198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3266502,"threshold_uncertainty_score":0.3243711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00868713260298497,"score_gpt":0.2360171346549026,"score_spread":0.2273300020519176,"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."}}