{"id":"W2546484112","doi":"10.1161/circimaging.111.966085","title":"Utility of Cardiovascular Magnetic Resonance in Identifying Substrate for Malignant Ventricular Arrhythmias","year":2011,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Health Research Board","keywords":"Medicine; Magnetic resonance imaging; Ventricular tachycardia; Sudden cardiac death; Cardiology; Radiology; Internal medicine; Cardiac magnetic resonance imaging; Cardiac imaging","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002204841,0.0003003694,0.001094967,0.0003881975,0.000103841,0.0000321241,0.0001262625,0.0001027336,0.0000302352],"category_scores_gemma":[0.0006596658,0.0003299498,0.002747436,0.0006458531,0.0001550687,0.0002160187,0.00005407355,0.0002466093,0.00001081364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009451578,"about_ca_system_score_gemma":0.0001464003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000416177,"about_ca_topic_score_gemma":0.000004026585,"domain_scores_codex":[0.9969864,0.0002352844,0.0007467734,0.0007241104,0.0007771506,0.0005302212],"domain_scores_gemma":[0.9978201,0.000122081,0.0001126465,0.00131255,0.0004850001,0.0001476541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301415,0.0001690994,0.8947155,0.0008883216,0.001367025,0.001376571,0.0008342397,0.002646927,0.0002733452,0.0002876141,0.00007252437,0.09723864],"study_design_scores_gemma":[0.003549019,0.00002182941,0.9729685,0.0004967196,0.00212482,0.000620273,0.0002977002,0.007380261,0.00436008,0.0005878567,0.007219141,0.0003738054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4732123,0.3993851,0.1210409,0.00003953362,0.0007625325,0.002206815,0.00004244292,0.0001571471,0.003153214],"genre_scores_gemma":[0.9962965,0.000439989,0.002815959,0.00004069716,0.000187831,0.00009870028,0.00004579576,0.00006330333,0.00001117571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5230842,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040530726410301,"score_gpt":0.2563302455560446,"score_spread":0.2157995191457436,"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."}}