{"id":"W4391348404","doi":"10.3390/life14020200","title":"Novel Magnetic Resonance Imaging Tools for Hypertrophic Cardiomyopathy Risk Stratification","year":2024,"lang":"en","type":"article","venue":"Life","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Risk stratification; Hypertrophic cardiomyopathy; Magnetic resonance imaging; Sudden cardiac death; Medicine; Cardiology; Cardiac magnetic resonance; Internal medicine; Sudden death; Cardiac magnetic resonance imaging; Cardiomyopathy; Risk assessment; Radiology; Computer science; Heart failure; Computer security","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":[0.002927725,0.0008309706,0.0009941317,0.002422129,0.0002290806,0.001420481,0.0006178978,0.0009595119,0.00151524],"category_scores_gemma":[0.004595726,0.000229512,0.0007488464,0.001027356,0.0005474921,0.001085539,0.0005574123,0.00128888,0.0007830354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961835,"about_ca_system_score_gemma":0.0005744945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006698849,"about_ca_topic_score_gemma":0.001100005,"domain_scores_codex":[0.999234,0.0002969386,0.0000980162,0.0001174839,0.0002164692,0.00003712368],"domain_scores_gemma":[0.9982742,0.0008556424,0.0002889106,0.00005601198,0.000465657,0.00005951611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000414939,0.0001248053,0.03017804,0.006913132,0.0007779632,0.001055922,0.00031026,0.000849266,0.01692175,0.006779769,0.01606515,0.919609],"study_design_scores_gemma":[0.0003262981,0.002355178,0.1889584,0.02560008,0.005808836,0.02653096,0.001325916,0.0135261,0.02828249,0.03583849,0.6708703,0.0005770467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01235117,0.9552659,0.019712,0.004289709,0.001109166,0.00009599955,0.0003118438,0.00016658,0.006697644],"genre_scores_gemma":[0.1431272,0.7808134,0.06324863,0.003167988,0.005136161,0.000242132,0.0005935915,0.00006108402,0.00360986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002927725,"threshold_uncertainty_score":0.01548344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791870791053567,"score_gpt":0.274311085300645,"score_spread":0.2463923773901093,"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."}}