{"id":"W2921521682","doi":"10.7759/cureus.4229","title":"The Role of Cardiac Magnetic Resonance Imaging in Severe Anorexia Nervosa","year":2019,"lang":"en","type":"article","venue":"Cureus","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Medicine; Ejection fraction; Cardiac magnetic resonance imaging; Cardiology; Internal medicine; Anorexia nervosa; Population; Sudden cardiac death; Magnetic resonance imaging; Heart failure; Radiology; Eating disorders; Psychiatry","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":[0.0001486771,0.00006840946,0.0001867098,0.00001709971,0.00002352926,0.000007695173,0.00007686432,0.00002729869,0.00003720508],"category_scores_gemma":[0.00001950207,0.00004998739,0.0001887081,0.0001015054,0.00003600082,0.00003733642,0.00004417935,0.0000912695,0.00002965305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002035327,"about_ca_system_score_gemma":0.00004562106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095708,"about_ca_topic_score_gemma":0.000008221923,"domain_scores_codex":[0.9993858,0.00004576394,0.0001132856,0.0001376267,0.0001638278,0.0001537337],"domain_scores_gemma":[0.9994208,0.00003122403,0.00002133178,0.0004484116,0.00002814406,0.00005009647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007255851,0.00003138567,0.8663859,0.00002316887,0.00002749117,0.00001160695,0.0001066753,0.000003362028,0.006927032,0.0002684837,0.0003311978,0.1258112],"study_design_scores_gemma":[0.0004960445,0.00003088732,0.9144799,0.00007612191,0.000099681,0.00001484729,0.0002195434,0.0001500671,0.001077735,0.0002282106,0.08305459,0.00007240498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020785,0.2838708,3.848045e-7,0.0001052738,0.0001071509,0.0002177803,0.000006428599,0.00001165027,0.01360201],"genre_scores_gemma":[0.9982775,0.0008216047,0.00002641339,0.00005938383,0.00007353303,0.000006373841,0.000005453213,0.00000969765,0.0007200007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.296199,"threshold_uncertainty_score":0.2038427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003115321442609672,"score_gpt":0.2057868887624658,"score_spread":0.2026715673198561,"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."}}