{"id":"W4384945129","doi":"10.1016/j.jcct.2023.05.119","title":"Vessel Distribution Of Coronary Artery Calcium From Gated CT And Low-dose Ungated CT Imaging Does Not Improve The Prediction Of MACE In Patients Referred For SPECT","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mace; Medicine; Coronary artery calcium; Single-photon emission computed tomography; Coronary artery disease; Radiology; Cardiology; Artery; Emission computed tomography; Internal medicine; Nuclear medicine; Positron emission tomography; Myocardial infarction; Percutaneous coronary intervention","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":[0.0008608469,0.0006134453,0.0009422452,0.0006766642,0.0003185081,0.001015762,0.0007832227,0.001755214,0.002281735],"category_scores_gemma":[0.005605288,0.0003351731,0.0007748858,0.0004873516,0.0004858266,0.0007970002,0.0004226406,0.001022937,0.0005717599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361705,"about_ca_system_score_gemma":0.0004285049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259021,"about_ca_topic_score_gemma":0.005823001,"domain_scores_codex":[0.9995334,0.0001200837,0.00005496051,0.00009415903,0.0001023361,0.00009503619],"domain_scores_gemma":[0.9971718,0.001446824,0.0004631668,0.0002175615,0.0002305782,0.0004701368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001145173,0.0001089431,0.9911539,0.00002792682,0.0001103921,0.00111491,0.00006507202,0.0001690495,0.001795846,0.00005906152,0.0002248995,0.004024808],"study_design_scores_gemma":[0.0000518352,0.0004908075,0.9937343,0.00003342245,0.0002261885,0.002156544,0.0001710308,0.00230011,0.0003313518,0.0002359428,0.0002538782,0.00001459272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971307,0.000636161,0.0002282533,0.000278026,0.00003622364,0.000007273519,0.0001207358,0.00001759377,0.001545],"genre_scores_gemma":[0.9993236,0.0001188101,0.0001267345,0.0001180831,0.00005614712,0.000002594768,0.0001250721,0.000006187941,0.0001228309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002281735,"threshold_uncertainty_score":0.00763315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756042691055884,"score_gpt":0.2269900400466351,"score_spread":0.2172339973555793,"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."}}