{"id":"W4412008660","doi":"10.1161/circgen.124.004937","title":"Importance of Clinical, Laboratory, and Genetic Risk Factors for Incident CAD","year":2025,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Internal medicine; CRFS; Myocardial infarction; Dyslipidemia; Coronary artery disease; Cardiology; Diabetes mellitus; Familial hypercholesterolemia; Disease; Cholesterol; Endocrinology","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":[0.00550508,0.0008397276,0.0005992628,0.001330227,0.0004712957,0.001298712,0.000785307,0.001004805,0.002499672],"category_scores_gemma":[0.02282059,0.0005527239,0.001020114,0.001307349,0.0009325329,0.0007115768,0.0007263632,0.001649733,0.0005340997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000341811,"about_ca_system_score_gemma":0.000719244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244059,"about_ca_topic_score_gemma":0.003870905,"domain_scores_codex":[0.9963182,0.002338593,0.0002023214,0.0005057335,0.0004322034,0.0002029672],"domain_scores_gemma":[0.9808695,0.01117111,0.003016118,0.002446007,0.001352204,0.001145186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484916,0.00002394163,0.994484,0.0000195134,0.0001789066,0.00009321814,0.00002134308,0.000274679,0.0001053276,0.00005621144,0.0002428532,0.004351553],"study_design_scores_gemma":[0.0000123269,0.00008478478,0.9948666,0.00002539931,0.0002345139,0.000745279,0.0000623838,0.00277006,0.00008181963,0.0005536232,0.0005507691,0.00001238646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699951,0.01254504,0.004764201,0.003985484,0.0002243698,0.0000410695,0.001376673,0.0001065851,0.006961571],"genre_scores_gemma":[0.9970315,0.0009440724,0.0009271916,0.0001600044,0.0002630392,0.000008561401,0.000333309,0.00001584293,0.0003164663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00550508,"threshold_uncertainty_score":0.02911401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290294306854185,"score_gpt":0.3488639086240414,"score_spread":0.3159609655554995,"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."}}