{"id":"W4402186199","doi":"10.1139/cjpp-2024-0188","title":"Echocardiographic assessment of epicardial adipose tissue thickness as independent predictor in coronary artery disease","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiology; Internal medicine; Epicardial adipose tissue; Coronary artery disease; Adipose tissue; Medicine; Artery","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":[0.0006467652,0.0003425365,0.0003086519,0.0006308047,0.0001567815,0.0004017228,0.0001670923,0.0004101885,0.0009382247],"category_scores_gemma":[0.001921524,0.0001520949,0.0001927445,0.0003254995,0.0001881683,0.0002398549,0.0003135845,0.0004558715,0.0001776137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006100844,"about_ca_system_score_gemma":0.0001297442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002244677,"about_ca_topic_score_gemma":0.0004656248,"domain_scores_codex":[0.9997171,0.0001128422,0.00003474808,0.00004298113,0.00005362859,0.00003863202],"domain_scores_gemma":[0.9987537,0.0004417255,0.000388172,0.00005396407,0.000124128,0.0002383237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002249426,0.00004886352,0.9967341,0.000008925676,0.00002237679,0.0001396199,0.00002830926,0.00004205065,0.001203314,0.000006567769,0.00001685312,0.001524083],"study_design_scores_gemma":[0.000008789205,0.0002933374,0.9982246,0.000005823932,0.00002585334,0.0006136331,0.00008353675,0.0004075984,0.0002477204,0.00001601892,0.00006919829,0.000003846595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999209,0.0003669052,0.000165028,0.00002434407,0.000007239583,0.000005096132,0.00003547423,0.000002221345,0.0001847964],"genre_scores_gemma":[0.9994808,0.0001158973,0.0002189369,0.00001513224,0.00002473968,0.000005155806,0.00004909293,7.682374e-7,0.00008948407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009382247,"threshold_uncertainty_score":0.003420472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970398904526387,"score_gpt":0.2897554440222405,"score_spread":0.2807850451177141,"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."}}