{"id":"W2039438839","doi":"10.14740/cr324w","title":"Body Composition and Abdominal Obesity in Patients With and Without Coronary Heart Disease","year":2014,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ilam University; Ilam University of Medical Sciences","keywords":"Medicine; Waist; Body mass index; Internal medicine; Cardiology; Obesity; Coronary artery disease; Angina; Body fat distribution; Adipose tissue; Abdominal obesity; Risk factor; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276558,0.0001120446,0.0005484204,0.0001657217,0.0001213886,0.00001602238,0.00004657208,0.00009017959,0.000004586044],"category_scores_gemma":[0.0001348135,0.00008856277,0.00005273513,0.0001119638,0.0005971644,0.00006124475,0.0000940549,0.0003762723,0.00001031567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356953,"about_ca_system_score_gemma":0.00005859301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002093004,"about_ca_topic_score_gemma":0.00001435198,"domain_scores_codex":[0.9981418,0.000655969,0.0001170279,0.0003695633,0.000356323,0.000359321],"domain_scores_gemma":[0.9991054,0.00009657528,0.00001421578,0.0003245876,0.0001753788,0.0002838383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001558435,0.0000727009,0.9868767,0.00008876401,0.00008735504,0.00003398117,0.0000319506,0.000003047716,0.00006013466,0.00002319042,0.0001815686,0.01098223],"study_design_scores_gemma":[0.003811399,0.0008543105,0.9939062,0.00008850778,0.00007291621,0.00004803742,0.00002330849,0.0000792425,0.00002487677,0.0001095003,0.0008863578,0.00009536364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974375,0.0009270876,0.00007733173,0.0002704634,0.00002971492,0.0007296589,0.000008149447,0.0000174639,0.0005026122],"genre_scores_gemma":[0.9993854,0.0000474314,0.0001404258,0.0001152116,0.0001416736,0.00005489077,0.00005517337,0.00001594912,0.00004380444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01088686,"threshold_uncertainty_score":0.3611485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763031675693316,"score_gpt":0.2974186038106365,"score_spread":0.2797882870537033,"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."}}