{"id":"W4238036936","doi":"10.14740/jem710","title":"Epicardial Adipose Tissue Thickness as a Reliable Marker of Increased Cardiovascular Risk in Patients With Type 2 Diabetes Mellitus","year":2020,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Adipose tissue; Diabetes mellitus; Type 2 Diabetes Mellitus; Internal medicine; Pericardium; Body mass index; Cardiology; Coronary artery disease; Coronary arteries; Type 2 diabetes; Triglyceride; Artery; Cholesterol; Endocrinology","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":[0.0002976114,0.0001628849,0.001135141,0.0001491253,0.0000363096,0.000006668035,0.00008777752,0.0001019679,0.00003164843],"category_scores_gemma":[0.0003456563,0.0001188844,0.0003878144,0.000250194,0.0001248973,0.0001122599,0.00005261167,0.00046775,0.000003777368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008741628,"about_ca_system_score_gemma":0.0001312971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005993388,"about_ca_topic_score_gemma":7.984306e-7,"domain_scores_codex":[0.9985095,0.000280691,0.0003932641,0.0001998629,0.0003525344,0.0002641341],"domain_scores_gemma":[0.998942,0.00006159402,0.0002072726,0.0002453933,0.0002708018,0.0002729468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006014867,0.0003864194,0.9569183,0.000214154,0.009917946,0.0006813381,0.0002854567,0.0001052682,0.001059367,0.0001395451,0.0001677297,0.02410964],"study_design_scores_gemma":[0.008949713,0.0005731242,0.9512479,0.00008333882,0.005648793,0.000107781,0.0000308799,0.000004510935,0.003707259,0.0000648205,0.02945905,0.0001228775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118997,0.08728115,0.0000209499,0.0001580157,0.000170872,0.0002168458,0.00001119553,0.000006892654,0.0002343699],"genre_scores_gemma":[0.994304,0.004742513,0.0004179824,0.0002628981,0.0002360878,0.000002580238,0.000006713363,0.00001652067,0.00001071989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08253863,"threshold_uncertainty_score":0.4847964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006182596671693111,"score_gpt":0.2151897151950146,"score_spread":0.2090071185233215,"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."}}