{"id":"W2043161713","doi":"10.1002/lt.23995","title":"Skeletal muscle abnormalities and outcomes after liver transplantation","year":2014,"lang":"en","type":"letter","venue":"Liver Transplantation","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Liver transplantation; Sarcopenia; Cirrhosis; Bioelectrical impedance analysis; Transplantation; Skeletal muscle; Magnetic resonance imaging; Adipose tissue; Internal medicine; Body mass index; Cardiology; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001761459,0.0003884393,0.000533296,0.0003206503,0.0001354303,0.00005592411,0.00006957073,0.0006177443,0.0004564353],"category_scores_gemma":[0.000004082237,0.0003635636,0.0001708775,0.00008040795,0.0001190234,0.0002427262,0.000004447134,0.0009731536,0.0001195015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005776053,"about_ca_system_score_gemma":0.00004988871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002437116,"about_ca_topic_score_gemma":0.00006484484,"domain_scores_codex":[0.9979994,0.0001514575,0.0004878977,0.0004661311,0.0004816328,0.0004134685],"domain_scores_gemma":[0.9992207,0.000216377,0.0001377348,0.0002067904,0.00009368634,0.0001247408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002945381,0.000530328,0.05167354,0.3171945,0.0009785007,0.07704941,0.04626579,0.000006871669,0.0003834323,0.000926647,0.4740471,0.02799855],"study_design_scores_gemma":[0.00594036,0.0003248416,0.5458328,0.002635189,0.002518789,0.003859895,0.00009893494,0.0002294977,0.0002032655,0.0002090057,0.437171,0.0009764354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2567796,0.005536071,0.01296167,0.7037498,0.002152512,0.004007395,0.002064437,0.0009564272,0.01179213],"genre_scores_gemma":[0.2396007,0.03066375,0.002382736,0.7158622,0.002271157,0.0002156756,0.006289768,0.0001209362,0.002593066],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4941592,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268094099499631,"score_gpt":0.2757032509472681,"score_spread":0.2530223099522718,"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."}}