{"id":"W4283333172","doi":"10.1016/j.jcct.2022.05.006","title":"Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Canadian Cardiovascular Society; Cardiac imaging; Radiology; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.01111399,0.0005818119,0.004344619,0.0004997332,0.0003931562,0.00004401194,0.0006599653,0.00009813297,5.072681e-7],"category_scores_gemma":[0.0001196136,0.0004295061,0.02614422,0.0056066,0.003058661,0.0002097092,0.0005174999,0.001040372,2.932132e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374199,"about_ca_system_score_gemma":0.0004047009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030022,"about_ca_topic_score_gemma":0.000004662162,"domain_scores_codex":[0.9919768,0.002661298,0.001733151,0.0007236521,0.002323856,0.0005812269],"domain_scores_gemma":[0.9928954,0.001266938,0.00200775,0.001667283,0.002034387,0.0001282649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008940738,0.000478368,0.5172056,0.001859475,0.1571991,0.00005284314,0.008882769,0.2525836,0.0005940519,0.00003788385,0.01073376,0.04947854],"study_design_scores_gemma":[0.02086433,0.000932113,0.8854807,0.001289306,0.0264768,0.0007609058,0.03035546,0.01059295,0.0003000968,0.00008692735,0.02214597,0.0007144586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928363,0.2822468,0.0187706,0.001902253,0.0003913305,0.003255323,0.0004890804,0.00004106765,0.0000671929],"genre_scores_gemma":[0.9636398,0.02505569,0.01067195,0.0002642214,0.0001734445,0.00006111516,0.00003075433,0.000101988,0.000001010484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3682751,"threshold_uncertainty_score":0.9998157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006145927446965101,"score_gpt":0.2124743601219259,"score_spread":0.2063284326749608,"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."}}