{"id":"W2007371677","doi":"10.1093/eurheartj/eht309.p2966","title":"Value of magnetic resonance and exercise echocardiography to predict outcome in patients with hypertrophic cardiomyopathy","year":2013,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Medicine; Cardiology; Internal medicine; Hypertrophic cardiomyopathy; Ejection fraction; Atrial fibrillation; Univariate analysis; Cardiomyopathy; Magnetic resonance imaging; Heart failure; Canadian Cardiovascular Society; Myocardial infarction; Radiology; Angina; Multivariate analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005799071,0.0004479013,0.0003714909,0.0005973844,0.0002715919,0.0004700677,0.0002604108,0.0007988628,0.0009177055],"category_scores_gemma":[0.002885254,0.00021653,0.0002990755,0.0002867201,0.0002960361,0.0004628537,0.000358819,0.0005984257,0.000274197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652801,"about_ca_system_score_gemma":0.0001484671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008936662,"about_ca_topic_score_gemma":0.00101616,"domain_scores_codex":[0.9997519,0.00007133186,0.00003366225,0.00005353286,0.0000401231,0.00004946949],"domain_scores_gemma":[0.9984576,0.0005091513,0.0003921754,0.00005061335,0.0001140537,0.0004764837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000243166,0.00004362655,0.9984124,0.000003189153,0.00002219399,0.0001360577,0.00002374813,0.00005177566,0.0001632191,0.000003948522,0.00003280582,0.0008637884],"study_design_scores_gemma":[0.00001708477,0.000271566,0.9984576,0.000006690013,0.00002727746,0.0004797644,0.00007184434,0.0005395914,0.00006322924,0.00001728654,0.00004428355,0.000003778643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995591,0.0001399883,0.00002764189,0.00003884275,0.000006521349,0.000002679751,0.00003488296,0.000001403905,0.0001888647],"genre_scores_gemma":[0.9997308,0.00004368945,0.00003589258,0.00001873005,0.00002324732,0.000002988127,0.00009643351,5.931738e-7,0.00004765044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009177055,"threshold_uncertainty_score":0.003069997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245963851136392,"score_gpt":0.2290658448270412,"score_spread":0.2166062063156773,"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."}}