{"id":"W4254403977","doi":"10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a4138","title":"Clinical Implications of Metabolic Risk Factors in Lung Transplant Recipients","year":2021,"lang":"en","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Diabetes mellitus; Hyperlipidemia; Retrospective cohort study; Obesity; Lung; Risk factor; Lung transplantation; Metabolic syndrome; Gastroenterology; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003576882,0.0002299509,0.0002292679,0.0005239375,0.0004027624,0.0005044652,0.0001947533,0.0004492994,0.001705446],"category_scores_gemma":[0.001246386,0.0001522453,0.0001897178,0.0005992342,0.0005113844,0.0002577647,0.0003368746,0.0005418221,0.0001211518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742514,"about_ca_system_score_gemma":0.000368065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543629,"about_ca_topic_score_gemma":0.004697953,"domain_scores_codex":[0.9997757,0.00006744502,0.00002878258,0.00003475111,0.00004540277,0.00004798549],"domain_scores_gemma":[0.999029,0.0001958803,0.0004837449,0.00002630608,0.00004458144,0.0002204977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008669576,0.00001116824,0.9988086,0.00000769167,0.000007634892,0.0002089809,0.00001451849,0.00001652589,0.0001752922,0.00000687513,0.00002906232,0.0006269774],"study_design_scores_gemma":[0.000004764456,0.00006236984,0.998713,0.000008170756,0.00001313909,0.0008805788,0.0000848771,0.0000957411,0.00005556273,0.00002104901,0.00005875409,0.000001913726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987952,0.0004935833,0.00004432498,0.0001515981,0.000006697127,0.000005178772,0.0001272063,0.000001963774,0.0003741932],"genre_scores_gemma":[0.9996493,0.0001282116,0.00003266859,0.00004025776,0.00001981952,0.000003280418,0.00008422081,5.003131e-7,0.00004178228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002543629,"threshold_uncertainty_score":0.005705237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06894409250368899,"score_gpt":0.4232937901387405,"score_spread":0.3543496976350515,"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."}}