{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006407526,0.0004177476,0.000440086,0.0008052483,0.0002372257,0.0005146916,0.0002069872,0.0004646017,0.001390947],"category_scores_gemma":[0.001810125,0.0002186999,0.0002781959,0.0007982771,0.0001872587,0.0002487089,0.0003060767,0.000561729,0.0002562985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009492168,"about_ca_system_score_gemma":0.0001101727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004845056,"about_ca_topic_score_gemma":0.0006382667,"domain_scores_codex":[0.9996804,0.0001184779,0.00004096893,0.0000556839,0.00007025879,0.00003415172],"domain_scores_gemma":[0.9987311,0.0003622454,0.0005350779,0.00006138291,0.0001247678,0.0001854797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000236737,0.00003458276,0.9980665,0.000009275587,0.00003199276,0.00008650561,0.00002879427,0.00002420675,0.0004581362,0.000003762387,0.00003332465,0.0009861982],"study_design_scores_gemma":[0.000009510569,0.0002261579,0.9987264,0.000006943285,0.0000469745,0.000503555,0.00006432238,0.0001664949,0.0001484853,0.000009952344,0.00008767937,0.000003475709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985251,0.0006551216,0.000151917,0.00002881437,0.00001794249,0.000009093593,0.00014253,0.000005723755,0.0004637454],"genre_scores_gemma":[0.999087,0.000203035,0.0003140507,0.00002458306,0.00003183406,0.00001333983,0.0001735498,0.00000190807,0.0001508333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390947,"threshold_uncertainty_score":0.004653156,"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."}}