{"id":"W4400748477","doi":"10.1016/j.nut.2024.112530","title":"Assessing clinical and metabolic responses related to hyperlipidemia, MASLD and type 2 diabetes: sleeve versus RYGB","year":2024,"lang":"en","type":"article","venue":"Nutrition","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; Toronto General Hospital; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Hyperlipidemia; Type 2 diabetes; Weight loss; Sleeve gastrectomy; Internal medicine; Roux-en-Y anastomosis; Gastric bypass; Diabetes mellitus; Fatty liver; Disease; Gastroenterology; Surgery; Obesity; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002650957,0.0005298735,0.00180756,0.0004165392,0.0001578826,0.0008776949,0.0002753542,0.0006097273,0.001233347],"category_scores_gemma":[0.002253885,0.0001639703,0.001052234,0.0003797718,0.0003637744,0.0008215119,0.0006226499,0.0009937481,0.0001799201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003078206,"about_ca_system_score_gemma":0.0004203467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194099,"about_ca_topic_score_gemma":0.002370672,"domain_scores_codex":[0.9993622,0.0002978836,0.00005691033,0.0001155937,0.00008707326,0.0000803704],"domain_scores_gemma":[0.9988789,0.0004017462,0.0002589691,0.00007557743,0.00008532299,0.0002994575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2840287,0.003569828,0.5817476,0.0007645533,0.003576815,0.0001287491,0.0003705943,0.0008266908,0.006641734,0.0003214267,0.0004850421,0.1175383],"study_design_scores_gemma":[0.009123301,0.07062177,0.9040304,0.0003778478,0.004531276,0.0004432117,0.001422456,0.003023003,0.003270111,0.0008036889,0.002256225,0.00009675234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969939,0.001632313,0.0003304486,0.0001305168,0.00005728017,0.00003820542,0.0001146977,0.000008094613,0.0006946137],"genre_scores_gemma":[0.9971498,0.0007057049,0.0009955722,0.0001877775,0.00005959774,0.00005436329,0.0002409672,0.000005440102,0.0006009187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002650957,"threshold_uncertainty_score":0.01401979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07636474797773947,"score_gpt":0.3970092014650082,"score_spread":0.3206444534872688,"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."}}