{"id":"W2463198152","doi":"10.1093/eurheartj/ehw268","title":"Prevention of sudden death in hypertrophic cardiomyopathy: bridging the gaps in knowledge","year":2016,"lang":"en","type":"review","venue":"European Heart Journal","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Sudden cardiac death; Risk stratification; Implantable cardioverter-defibrillator; Population; Intensive care medicine; Sudden death; Bridging (networking); Cardiomyopathy; Risk assessment; Cardiology; Internal medicine; Heart failure","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":[0.001591748,0.0005394791,0.001671431,0.002473539,0.0002707431,0.001061494,0.0008609756,0.001201283,0.002985563],"category_scores_gemma":[0.003542601,0.0002006252,0.001068351,0.001580386,0.0005195948,0.001081696,0.0007184289,0.001351244,0.0006630888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237343,"about_ca_system_score_gemma":0.001931652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243999,"about_ca_topic_score_gemma":0.002070676,"domain_scores_codex":[0.9994629,0.0001693554,0.0001387348,0.00006729596,0.0001342292,0.00002754574],"domain_scores_gemma":[0.9980927,0.001385689,0.000189725,0.0000328542,0.000250557,0.00004833176],"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":[0.00007891141,0.00005273418,0.0004011907,0.07597441,0.0004156894,0.000182339,0.0001280009,0.0002072061,0.0003490934,0.003094852,0.01387552,0.9052401],"study_design_scores_gemma":[0.0000825268,0.0002488852,0.004037964,0.1461514,0.001989107,0.00248171,0.0003609674,0.0001883019,0.0004389455,0.00616356,0.8378119,0.00004489866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007005112,0.9991218,0.00003954455,0.0004425604,0.00007080605,0.000002801371,0.000009289452,0.000001536642,0.0002415195],"genre_scores_gemma":[0.0005341559,0.9990879,0.00009421774,0.0001543629,0.00007557176,0.000003783329,0.000008202138,4.442139e-7,0.00004130657],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002985563,"threshold_uncertainty_score":0.009987712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09344729742390155,"score_gpt":0.3698455278607392,"score_spread":0.2763982304368376,"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."}}