{"id":"W4409773387","doi":"10.70749/ijbr.v3i4.1109","title":"The Role of Late Gadolinium Enhancement on Cardiac MRI in Predicting Arrhythmic Events in Non-Ischemic Cardiomyopathy: A Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Indus journal of bioscience research.","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiology; Internal medicine; Medicine; Cardiomyopathy; Gadolinium; Cardiac magnetic resonance; Ischemic cardiomyopathy; Magnetic resonance imaging; Radiology; Heart failure; Ejection fraction; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01074231,0.0001278402,0.0009122044,0.00167613,0.0001118674,0.00003162655,0.0003345727,0.00007993947,0.000005279145],"category_scores_gemma":[0.002561086,0.00008227363,0.0007596441,0.003520469,0.0002734392,0.00009621048,0.0001386042,0.001074231,0.000003184238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943689,"about_ca_system_score_gemma":0.0008391177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810837,"about_ca_topic_score_gemma":0.00001868319,"domain_scores_codex":[0.9965075,0.00044746,0.0007929428,0.0002522936,0.001490604,0.000509178],"domain_scores_gemma":[0.9972829,0.001347042,0.000261945,0.0004170255,0.0005533485,0.0001377813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004914201,0.000387466,0.9168031,0.00006138754,0.01034754,0.0001499319,0.001085093,0.003215794,0.06025061,0.00005148603,0.0005768858,0.006579333],"study_design_scores_gemma":[0.002989969,0.001142998,0.6511787,0.00131592,0.01872963,0.00004055976,0.004905976,0.005590984,0.308281,0.0008594366,0.004626241,0.0003385492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869463,0.005981516,0.0001191981,0.002873911,0.0002400087,0.0003861145,0.00001015974,0.000003027381,0.003439728],"genre_scores_gemma":[0.998601,0.0009719706,0.00008667567,0.00005247854,0.00007826491,0.00002113073,7.762951e-7,0.000006332087,0.0001814139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656243,"threshold_uncertainty_score":0.4667059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724274765724011,"score_gpt":0.3811136451565051,"score_spread":0.333870897499265,"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."}}