{"id":"W2909277862","doi":"10.1016/j.ijcard.2019.01.018","title":"Long term prognostic importance of late gadolinium enhancement in first-presentation non-ischaemic dilated cardiomyopathy","year":2019,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Society for Cardiovascular Magnetic Resonance; Heart and Stroke Foundation of Canada","keywords":"Medicine; Mace; Cardiology; Internal medicine; Heart failure; Dilated cardiomyopathy; Myocardial fibrosis; Proportional hazards model; Magnetic resonance imaging; Cardiomyopathy; Univariate analysis; Fibrosis; Myocardial infarction; Multivariate analysis; Percutaneous coronary intervention; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004339753,0.0001220149,0.0006016627,0.0003443963,0.000008385351,0.000009292055,0.0001677037,0.0000851387,0.00003299749],"category_scores_gemma":[0.0004207177,0.0001086696,0.0002956802,0.0001117981,0.00006223361,0.0001064209,0.00005849079,0.0002681873,0.00001851354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446958,"about_ca_system_score_gemma":0.0001575797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424505,"about_ca_topic_score_gemma":0.000003673918,"domain_scores_codex":[0.9984635,0.00005936785,0.0007188709,0.0001544512,0.0004322843,0.000171567],"domain_scores_gemma":[0.9983372,0.0002758571,0.000447644,0.0001623289,0.0007100631,0.00006690471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000474596,0.00004468985,0.9883856,0.0000486091,0.0004375369,0.0007147667,0.0001563153,0.003070046,0.00569874,0.00001275947,0.000307324,0.0006490863],"study_design_scores_gemma":[0.002975597,0.000287613,0.9917979,0.0004613073,0.000135005,0.001017093,0.00004528889,0.0002207979,0.002658417,0.00006639886,0.0002455989,0.00008897591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992206,0.0007255371,0.002095696,0.0006598909,0.002352995,0.0002530489,0.00001042591,0.000005787301,0.001690583],"genre_scores_gemma":[0.9985714,0.0003747094,0.0001879326,0.000139528,0.0005975232,0.000006494125,0.00003533789,0.00001413484,0.00007295908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006365344,"threshold_uncertainty_score":0.4431417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056091389050051,"score_gpt":0.3005319874958736,"score_spread":0.2899710736053731,"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."}}