{"id":"W2206651137","doi":"10.1007/s00330-015-4096-2","title":"Characterisation of cardiomyopathy by cardiac and aortic magnetic resonance in patients new to hemodialysis","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute for Health and Care Research; British Heart Foundation; American Society of Nephrology; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Pulse wave velocity; Diastole; Heart failure; Cardiac magnetic resonance imaging; Cardiomyopathy; Hemodialysis; Cardiac function curve; Magnetic resonance imaging; Radiology; Blood pressure","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":[0.0003927692,0.0002460768,0.0003405417,0.0005147414,0.0003361465,0.0004066308,0.0001951956,0.0004941857,0.0007247004],"category_scores_gemma":[0.001402331,0.0001406833,0.0001810521,0.0002504643,0.0003159748,0.0003611005,0.000295526,0.0003548744,0.0001331821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479897,"about_ca_system_score_gemma":0.0001404851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00061311,"about_ca_topic_score_gemma":0.0009301145,"domain_scores_codex":[0.9997962,0.00004975757,0.00002686212,0.00004980244,0.00003584314,0.0000415225],"domain_scores_gemma":[0.9992174,0.0001811346,0.0002906497,0.00003123903,0.00006287342,0.0002166267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866198,0.00003395274,0.9974958,0.00000690132,0.00001387727,0.0001947624,0.00008870725,0.00002145152,0.0007614568,0.000008207362,0.00003102103,0.001157171],"study_design_scores_gemma":[0.000009604674,0.0002182421,0.9984403,0.000004706257,0.00001258496,0.0009144294,0.0001321894,0.0001030499,0.00008149933,0.00001455908,0.00006639986,0.000002401008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996922,0.000124384,0.00003291269,0.00001192123,0.000003396838,0.000002411753,0.00002188395,8.055865e-7,0.0001099745],"genre_scores_gemma":[0.99979,0.00003930583,0.00004489124,0.00001758437,0.00001221226,0.000003619022,0.00005434415,4.289127e-7,0.00003764902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007247004,"threshold_uncertainty_score":0.002424359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053804842965639,"score_gpt":0.2128359911052015,"score_spread":0.2022979426755451,"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."}}