{"id":"W3205958687","doi":"10.1016/j.cjca.2021.07.174","title":"SMARTPHONE APPLICATION TO RISK STRATIFY PATIENTS WITH CORONARY ARTERY DISEASE AND FACILITATE PERSONALIZED GUIDELINE-DIRECTED MEDICAL THERAPY","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Guideline; Coronary artery disease; Intensive care medicine; Disease; Residual risk; Smoking cessation; Comorbidity; Risk assessment; Physical therapy; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798786,0.0006141947,0.0004761883,0.0004900087,0.0001607532,0.000589307,0.0003417673,0.0008801038,0.0171073],"category_scores_gemma":[0.002489114,0.0001720809,0.0003587469,0.0002174403,0.00005950906,0.0005182886,0.0005207694,0.0004811294,0.005450389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256879,"about_ca_system_score_gemma":0.0002157899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569584,"about_ca_topic_score_gemma":0.002561623,"domain_scores_codex":[0.9998069,0.00006254709,0.00002196491,0.00003699027,0.00004798901,0.00002357595],"domain_scores_gemma":[0.9989536,0.0005785887,0.0001039309,0.00004427413,0.0001873802,0.0001321586],"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":[0.003738618,0.001472383,0.04705865,0.001467541,0.0003124522,0.001501342,0.0006275811,0.0005888586,0.01495276,0.0007791593,0.2404138,0.6870869],"study_design_scores_gemma":[0.004368796,0.005615656,0.4749788,0.003580651,0.00310134,0.01054646,0.002499563,0.06733394,0.0325606,0.009797691,0.3848677,0.0007487244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6787269,0.02270535,0.07471131,0.01886138,0.004586079,0.002846289,0.03442263,0.0492068,0.1139333],"genre_scores_gemma":[0.8796054,0.006312611,0.05302772,0.01048439,0.002158692,0.001303856,0.006603072,0.0005464613,0.03995794],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0171073,"threshold_uncertainty_score":0.05722964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178103868198573,"score_gpt":0.2401478895666036,"score_spread":0.2283668508846178,"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."}}