{"id":"W3138854050","doi":"10.1161/circimaging.120.011136","title":"Myocardial Fibrosis in Pediatric Patients With Ebstein’s Anomaly","year":2021,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Ventricle; Medicine; Cardiology; Internal medicine; Diastole; Magnetic resonance imaging; Body surface area; Feature tracking; Cardiac magnetic resonance imaging; Cardiac magnetic resonance; Myocardial fibrosis; Fibrosis; 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":[0.0003627935,0.0003915829,0.000406122,0.001031894,0.000412459,0.0003117756,0.0002311672,0.0005053101,0.001528506],"category_scores_gemma":[0.001716277,0.0002672498,0.000187765,0.0006193465,0.0004642462,0.0004528383,0.0003163624,0.0004177845,0.0001381045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114506,"about_ca_system_score_gemma":0.0002485664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009385451,"about_ca_topic_score_gemma":0.001085781,"domain_scores_codex":[0.999782,0.00004267106,0.00002220834,0.00005313195,0.00005034291,0.00004966238],"domain_scores_gemma":[0.9991868,0.0001681712,0.0004145927,0.00002257106,0.00004476427,0.0001630728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006070908,0.00001757114,0.991469,0.00001173088,0.00001056901,0.006161009,0.00009385213,0.00003394557,0.0004648887,0.00002182401,0.00008036605,0.001574579],"study_design_scores_gemma":[0.000009981026,0.0001714832,0.960568,0.00001608319,0.0000225486,0.0384878,0.0002083545,0.0001558069,0.0001577221,0.00003533994,0.0001631524,0.000003787864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993193,0.0003238946,0.00006650136,0.00004114039,0.000004866037,0.000005029861,0.00003721179,0.000004188374,0.0001977797],"genre_scores_gemma":[0.9995389,0.000222204,0.00009906826,0.00002074487,0.0000158898,0.000004821195,0.00006771916,0.00000135158,0.00002936758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001528506,"threshold_uncertainty_score":0.005113363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006870626078425039,"score_gpt":0.2106765637833189,"score_spread":0.2038059377048939,"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."}}