{"id":"W2319300718","doi":"10.1097/rti.0000000000000115","title":"Cardiac Magnetic Resonance Imaging Findings Predict Major Adverse Events in Apical Hypertrophic Cardiomyopathy","year":2014,"lang":"en","type":"article","venue":"Journal of Thoracic Imaging","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Cardiology; Internal medicine; Sudden cardiac death; Ventricular tachycardia; Implantable cardioverter-defibrillator; Thrombus; Cardiac magnetic resonance imaging; Sudden death; Magnetic resonance imaging; Stroke (engine); Heart failure; Cardiomyopathy; Radiology","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":[0.0003855109,0.0003195809,0.0002409319,0.000453403,0.0002864152,0.0004077056,0.0002298915,0.0005563205,0.00124789],"category_scores_gemma":[0.001946378,0.0001592468,0.0002324569,0.0002289856,0.0003045538,0.0002548018,0.0002724267,0.0004170288,0.0002610803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204396,"about_ca_system_score_gemma":0.0001642597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000580259,"about_ca_topic_score_gemma":0.000790053,"domain_scores_codex":[0.9998252,0.00004443802,0.00002536299,0.00003307995,0.00003000302,0.00004194887],"domain_scores_gemma":[0.9982125,0.0004917158,0.0006759262,0.00005725836,0.0001327562,0.0004298475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008164536,0.00001366204,0.9989692,0.000003345599,0.000009135431,0.000152917,0.00001149421,0.00001540598,0.000256768,0.000002549872,0.00001999396,0.0004638862],"study_design_scores_gemma":[0.000006174273,0.0001077282,0.9984712,0.000004902452,0.00001787434,0.001059979,0.00005905846,0.0001420039,0.0000747458,0.000008693545,0.00004554402,0.00000203955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995555,0.0001903284,0.00003481334,0.0000285569,0.000005336218,0.000001978369,0.00003220838,0.000001692411,0.0001495236],"genre_scores_gemma":[0.9997743,0.00004902948,0.00003685287,0.00001664659,0.00002279239,0.000001769528,0.00007038342,6.759282e-7,0.00002754362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124789,"threshold_uncertainty_score":0.00417459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00788050716241858,"score_gpt":0.2722182063675969,"score_spread":0.2643376992051783,"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."}}