{"id":"W2319731645","doi":"10.1186/1532-429x-18-s1-p194","title":"Do whole body impedance cardiography estimates of left ventricular structure, volumes and function correlate with the gold standard of cardiac magnetic resonance imaging?","year":2016,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Impedance cardiography; Medicine; Angiology; Gold standard (test); Cardiology; Magnetic resonance imaging; Ventricular function; Cardiac magnetic resonance; Internal medicine; Cardiac magnetic resonance imaging; Cardiac imaging; Stroke volume; Radiology; Ejection fraction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062408,0.0003154587,0.001305906,0.000216129,0.00007042243,0.00002792258,0.0002267265,0.0001033166,0.00001395638],"category_scores_gemma":[0.0001197232,0.0001721104,0.0009568108,0.0004019298,0.0006272965,0.0001492196,0.0000438543,0.0003139667,6.634957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005921768,"about_ca_system_score_gemma":0.0001596689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000317603,"about_ca_topic_score_gemma":7.806779e-7,"domain_scores_codex":[0.9970558,0.0002182504,0.0006696244,0.0003456404,0.001354575,0.0003560905],"domain_scores_gemma":[0.9976324,0.0001800764,0.000395796,0.0008349506,0.0008064755,0.0001502396],"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":[0.00146892,0.00003327867,0.1137171,0.0001733365,0.0008072003,0.000151892,0.0001638369,0.00008002756,0.004613702,0.00004015582,0.0005192094,0.8782313],"study_design_scores_gemma":[0.00427465,0.002841336,0.604994,0.001730658,0.002338005,0.001148837,0.0001501027,0.0001951551,0.003911729,0.0003367604,0.3777958,0.0002830059],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4899517,0.5083712,0.0008950146,0.0001371104,0.000271706,0.0002520879,0.00004530133,0.000009283581,0.00006654794],"genre_scores_gemma":[0.965265,0.03289612,0.001333665,0.00001766837,0.0002779968,0.000006301837,0.000001134732,0.00004852851,0.0001535265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8779483,"threshold_uncertainty_score":0.7018459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002947867964977953,"score_gpt":0.2004442484177101,"score_spread":0.1974963804527321,"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."}}