{"id":"W4386575315","doi":"10.1016/j.heliyon.2023.e19974","title":"Real-world approach to comprehensive artificial intelligence-aided CT evaluation of coronary artery disease in 530 patients: A retrospective study","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Stenosis; Coronary artery disease; Fractional flow reserve; Radiology; Concordance; Angiography; Internal medicine; Retrospective cohort study; Cardiology; Computed tomography angiography; Coronary angiography; Myocardial infarction","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":[0.001021387,0.0003160411,0.0003707132,0.00123232,0.0004963926,0.0008040671,0.0003851086,0.0005364413,0.001375751],"category_scores_gemma":[0.002891661,0.0004522473,0.0004416255,0.001487236,0.000554616,0.0005165536,0.0005750325,0.000410327,0.0005394781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406337,"about_ca_system_score_gemma":0.000467864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168945,"about_ca_topic_score_gemma":0.002973735,"domain_scores_codex":[0.9989098,0.0002916569,0.0001870815,0.0002746249,0.0002162626,0.0001205977],"domain_scores_gemma":[0.9976807,0.0004321397,0.00085968,0.0004352244,0.0003356374,0.0002566358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009484107,0.00006367833,0.998018,0.00001435934,0.00002796287,0.0004101992,0.0001315626,0.00003880902,0.0001718746,0.00002097741,0.00006470369,0.0009429873],"study_design_scores_gemma":[0.00001596726,0.0004597961,0.9939107,0.00001710484,0.00006264613,0.003850428,0.0005853956,0.0003249603,0.0001431699,0.00002619236,0.000587932,0.00001571193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987531,0.0002605615,0.0002377978,0.00001389617,0.000001944393,0.00003281554,0.0002320357,0.000003846224,0.0004640906],"genre_scores_gemma":[0.9992175,0.0001308388,0.0001945321,0.00003600604,0.00000791466,0.00003076654,0.0003244941,0.000002666265,0.00005535506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003168945,"threshold_uncertainty_score":0.006300986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07656834733331419,"score_gpt":0.3541294129525131,"score_spread":0.2775610656191989,"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."}}