{"id":"W3092807185","doi":"10.1016/j.echo.2020.08.022","title":"Effect of Regional Upper Septal Hypertrophy on Echocardiographic Assessment of Left Ventricular Mass and Remodeling in Aortic Stenosis","year":2020,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Institut Universitaire de Cardiologie et de Pneumologie de Québec; Libin Cardiovascular Institute of Alberta; Université Laval","funders":"Canadian Institutes of Health Research; Fondation Institut Universitaire de Cardiologie et de Pneumologie de Québec","keywords":"Medicine; Cardiology; Internal medicine; Stenosis; Basal (medicine); Muscle hypertrophy; Left ventricular hypertrophy; Magnetic resonance imaging; Body surface area; Interventricular septum; Radiology; Ventricle; Blood pressure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002573182,0.0006387335,0.0009165647,0.0003169874,0.0002542975,0.0007178577,0.0003679293,0.0008133624,0.001308902],"category_scores_gemma":[0.006313616,0.0003302979,0.0006669899,0.0002239929,0.0007290193,0.0006643064,0.0004524578,0.001089847,0.0002216684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216274,"about_ca_system_score_gemma":0.0003174525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039603,"about_ca_topic_score_gemma":0.001878737,"domain_scores_codex":[0.9989814,0.0006093865,0.00006655379,0.0001143711,0.0001353115,0.00009289673],"domain_scores_gemma":[0.9937077,0.004056817,0.0004802184,0.0003733583,0.0002078274,0.001174086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09922794,0.00405623,0.8357639,0.0001152893,0.001371701,0.00127566,0.000486333,0.001075454,0.03178707,0.0001489264,0.0001816089,0.0245099],"study_design_scores_gemma":[0.0001900767,0.00450808,0.9923355,0.000008707125,0.0002831887,0.0002684039,0.0001252209,0.000932536,0.00119133,0.00004297306,0.00009851924,0.00001544446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989873,0.0003067782,0.00008232927,0.00004717027,0.00002026107,0.000005502173,0.00002604488,0.00000462762,0.0005201046],"genre_scores_gemma":[0.9995327,0.00005991349,0.0001078918,0.00002917228,0.00004244769,0.000004012959,0.00002914803,0.00000386315,0.000190831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002573182,"threshold_uncertainty_score":0.0136084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131218881228693,"score_gpt":0.2628329720689449,"score_spread":0.251520783256658,"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."}}