{"id":"W4295775510","doi":"10.1016/j.jcmg.2022.06.018","title":"Major Global Coronary Artery Calcium Guidelines","year":2022,"lang":"en","type":"review","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Canadian Cardiovascular Society; Guideline; Coronary artery disease; Dyslipidemia; Specialty; Disease; Coronary atherosclerosis; Atherosclerotic cardiovascular disease; Excellence; Intensive care medicine; Internal medicine; Family medicine; Cardiology; Angina; Myocardial infarction; Pathology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009523301,0.001604435,0.002116924,0.004632575,0.0003416653,0.001240076,0.001123642,0.001637973,0.02247516],"category_scores_gemma":[0.003002858,0.0004031103,0.001363231,0.003551807,0.0003699682,0.0008970777,0.001274725,0.00219448,0.008889792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113605,"about_ca_system_score_gemma":0.004315675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004844662,"about_ca_topic_score_gemma":0.01312787,"domain_scores_codex":[0.9995306,0.00007992461,0.0001046948,0.00005746469,0.0001689241,0.00005836161],"domain_scores_gemma":[0.9988679,0.0003252321,0.0003171986,0.00002904003,0.0003355947,0.0001250884],"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":[0.0001144672,0.00005722908,0.0002022142,0.01702972,0.0002155938,0.00007422029,0.00002014712,0.0001142692,0.0002161489,0.001305499,0.4424276,0.5382229],"study_design_scores_gemma":[0.0002730265,0.00006596596,0.001577429,0.02689978,0.001037342,0.000291005,0.00002599032,0.00007286997,0.00008924887,0.001420129,0.968226,0.00002125855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009084215,0.9881629,0.0001972118,0.002929811,0.001985977,0.00005112006,0.0004683649,0.00006946781,0.006044255],"genre_scores_gemma":[0.0007698247,0.987709,0.0005701864,0.004709223,0.001962855,0.00007869724,0.0009639475,0.00001498248,0.003221194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02247516,"threshold_uncertainty_score":0.07518685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0793008874471239,"score_gpt":0.3634321843586573,"score_spread":0.2841312969115334,"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."}}