{"id":"W4223416080","doi":"10.1007/s12350-022-02964-z","title":"External validation of the CRAX2MACE model","year":2022,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"National Heart, Lung, and Blood Institute; Cedars-Sinai Medical Center; National Institutes of Health; Pfizer","keywords":"Mace; Medicine; Brier score; Coronary artery disease; Receiver operating characteristic; Myocardial infarction; Area under the curve; Revascularization; Internal medicine; Cardiology; Myocardial perfusion imaging; Population; Nuclear medicine; Percutaneous coronary intervention; Statistics","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":[0.007517868,0.001084182,0.0006978508,0.001084989,0.0005734253,0.00204681,0.002589339,0.0013642,0.01747677],"category_scores_gemma":[0.02332432,0.0004017603,0.0009480755,0.0007208865,0.0008460976,0.001345901,0.002046682,0.001595087,0.006903999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908024,"about_ca_system_score_gemma":0.001889603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392625,"about_ca_topic_score_gemma":0.01005464,"domain_scores_codex":[0.9965196,0.001336634,0.0001863864,0.0006856153,0.001048137,0.0002236194],"domain_scores_gemma":[0.9895923,0.003997725,0.0003366635,0.003107947,0.002700229,0.0002651718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.005486669,0.001714401,0.03370886,0.001262089,0.0009091554,0.0007220469,0.0005362636,0.6846177,0.01534106,0.01603931,0.09943353,0.140229],"study_design_scores_gemma":[0.000690538,0.0004742162,0.01209601,0.0002083259,0.0001176784,0.0001910106,0.0001431104,0.9333562,0.01349132,0.004077429,0.0350683,0.00008582242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.667135,0.0007861017,0.2115746,0.001389489,0.001333779,0.001218402,0.03582766,0.02987889,0.05085615],"genre_scores_gemma":[0.8738202,0.0001773271,0.07044519,0.000377413,0.00008854274,0.000655722,0.03943998,0.004126764,0.01086881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747677,"threshold_uncertainty_score":0.0584656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853147362089827,"score_gpt":0.2674604473335595,"score_spread":0.2489289737126612,"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."}}