{"id":"W4403349203","doi":"10.1007/s10554-024-03257-x","title":"ECHO-MPS, a dual modality strategy of cardiac imaging to identify myocardial ischemia","year":2024,"lang":"en","type":"article","venue":"The International Journal of Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute for Health and Care Research","keywords":"Medicine; Coronary artery disease; Ventricle; Internal medicine; Cardiology; Perfusion; Myocardial perfusion imaging; Perfusion scanning; Myocardial perfusion scintigraphy; Nuclear medicine; Diagnostic accuracy; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939854,0.0002389558,0.0007474274,0.0004190108,0.00005526108,0.0003023193,0.0004113368,0.00003807668,0.00002278208],"category_scores_gemma":[0.0006945167,0.0001821894,0.00275317,0.0003054195,0.0001390465,0.0003538257,0.0002109053,0.0005796396,0.00002875066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785918,"about_ca_system_score_gemma":0.0005077512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001839036,"about_ca_topic_score_gemma":2.906073e-7,"domain_scores_codex":[0.9964457,0.0001621175,0.0007512587,0.0002821542,0.002066608,0.0002921551],"domain_scores_gemma":[0.9975428,0.0003268151,0.0001597186,0.0005112321,0.001264552,0.0001948844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009169214,0.000255704,0.04738296,0.0005017607,0.05326653,0.00834572,0.004034497,0.02751772,0.1137623,0.001270436,0.07260542,0.67014],"study_design_scores_gemma":[0.007098846,0.0002260523,0.1780818,0.007526402,0.0243156,0.03499545,0.006300249,0.008718326,0.1980171,0.005637443,0.5271589,0.001923863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7511784,0.1714782,0.0320562,0.01822587,0.01383117,0.0006722657,0.0001847045,0.0001614113,0.01221171],"genre_scores_gemma":[0.9950072,0.0006413275,0.0006250766,0.0004210114,0.003185358,0.000006118406,0.00001199337,0.00004935289,0.00005259499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6682162,"threshold_uncertainty_score":0.7429467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397068288624223,"score_gpt":0.3169014798102341,"score_spread":0.3029307969239919,"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."}}