{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004217676,0.00004779516,0.0002816065,0.00006393871,0.00006515736,0.000003217162,0.000108934,0.00002528182,0.00005029185],"category_scores_gemma":[0.0002528005,0.00003384895,0.0003540954,0.00007571679,0.00005777692,0.00002395739,0.00009917992,0.0003312699,0.000002629118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006693479,"about_ca_system_score_gemma":0.0001035949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002265646,"about_ca_topic_score_gemma":1.880937e-8,"domain_scores_codex":[0.9992208,0.0001389196,0.0002413526,0.00005343698,0.0002602424,0.0000851972],"domain_scores_gemma":[0.9993604,0.00007506504,0.000229467,0.0001595798,0.000135937,0.00003955217],"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":[0.001186878,0.0002084986,0.2639798,0.0000641391,0.0006823875,0.0004537374,0.001440797,0.4852756,0.09630612,0.001755044,0.1453661,0.003280981],"study_design_scores_gemma":[0.008721247,0.002601379,0.7671651,0.0002177097,0.002638095,0.04866751,0.002422896,0.0186226,0.004381298,0.005611906,0.1385447,0.0004055297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923,0.0004314916,0.0008727835,0.00201358,0.0008082091,0.00005785342,0.000008788463,0.00000513434,0.003502131],"genre_scores_gemma":[0.9983439,0.00003131195,0.0006065296,0.0006397834,0.0002686008,5.449413e-7,4.644668e-7,0.00001158239,0.0000972351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5031853,"threshold_uncertainty_score":0.1439221,"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."}}