{"id":"W1992118404","doi":"10.1016/j.nuclcard.2004.06.112","title":"Electrocardiographic prediction of the severity of posterior wall perfusion defects on rest 99m Tc-sestamibi myocardial perfusion imaging","year":2004,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Medicine; Cardiology; Perfusion; Internal medicine; Myocardial perfusion imaging; Ventricle; Nuclear medicine; Surrogate endpoint; Myocardial infarction; QRS complex","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":[0.0007332627,0.0002006296,0.0009148204,0.0003465845,0.0001115584,0.00001057476,0.000165768,0.0001609745,0.000006299162],"category_scores_gemma":[0.0006849288,0.0001433894,0.001295374,0.0003246788,0.0002761946,0.00008283984,0.00009973223,0.0006582341,0.000004000112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750737,"about_ca_system_score_gemma":0.0002297454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004810506,"about_ca_topic_score_gemma":0.000001054362,"domain_scores_codex":[0.9980054,0.0003064217,0.0006388829,0.0002104592,0.0005536387,0.000285167],"domain_scores_gemma":[0.9982416,0.0001686326,0.0005100131,0.0004358276,0.0005157572,0.0001281668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002543896,0.0002465246,0.6972065,0.0001366879,0.0004681875,0.0003518471,0.0006929563,0.002558079,0.2872183,0.0001151737,0.00310368,0.005358173],"study_design_scores_gemma":[0.00292647,0.001670652,0.981878,0.0005767453,0.0008161953,0.006486688,0.0002080245,0.00004892766,0.002974192,0.0001319615,0.002171612,0.0001104817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950572,0.0008286745,0.00006877402,0.001201899,0.001212109,0.0002284986,0.00002147803,0.0000212688,0.001360044],"genre_scores_gemma":[0.9979367,0.0006636747,0.0001301252,0.0005508233,0.0006704007,9.396329e-7,0.000004207353,0.00003848545,0.000004591137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2846715,"threshold_uncertainty_score":0.584725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007827617457290187,"score_gpt":0.2270087601903784,"score_spread":0.2191811427330882,"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."}}