{"id":"W4380447998","doi":"10.1093/ndt/gfad063c_6732","title":"#6732 EPICARDIAL ADIPOSE TISSUE AND REVERSE EPIDEMIOLOGY IN DIALYSIS PATIENTS","year":2023,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Dialysis; Internal medicine; Body mass index; Diabetes mellitus; Hemodialysis; Adipose tissue; Kidney disease; Population; Quartile; Coronary artery disease; Epidemiology; Cardiology; Gastroenterology; Endocrinology; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004885081,0.0001719399,0.0003034721,0.0006891503,0.0003711945,0.0005483621,0.0002289889,0.0003358973,0.004460352],"category_scores_gemma":[0.001151447,0.00009791855,0.0002046554,0.001302644,0.0002382078,0.0003498204,0.0003888925,0.0005405724,0.0005414828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315076,"about_ca_system_score_gemma":0.0002898785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168591,"about_ca_topic_score_gemma":0.001631213,"domain_scores_codex":[0.9996784,0.0001036198,0.00004639298,0.00006913812,0.00005611966,0.00004635229],"domain_scores_gemma":[0.9986778,0.0003008262,0.0006103516,0.00007347863,0.000131689,0.0002058198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009387642,0.00001728849,0.9980218,0.00001554754,0.00001672996,0.00004245124,0.00001363703,0.000008382312,0.00008298814,0.00001734837,0.0001030859,0.001566928],"study_design_scores_gemma":[0.00001026874,0.0001281568,0.9983393,0.00001831975,0.00003138317,0.0005278217,0.0001132956,0.0001162396,0.00005607421,0.00006468151,0.0005918876,0.000002625198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938205,0.002495372,0.0002669445,0.0002989314,0.00003858786,0.00001593891,0.001370855,0.000006557481,0.001686286],"genre_scores_gemma":[0.998,0.0005331821,0.000225767,0.0001103004,0.00008796664,0.00001612948,0.0005337363,0.000002454179,0.0004905618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004460352,"threshold_uncertainty_score":0.01492143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529381074411301,"score_gpt":0.2739604102138277,"score_spread":0.2586665994697147,"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."}}