{"id":"W2051352464","doi":"10.1159/000185188","title":"Changes in Body Composition in Children following Kidney Transplantation","year":2008,"lang":"en","type":"article","venue":"˜The œNephron journals/Nephron journals","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Transplantation; Body water; Lean body mass; Weight gain; Extracellular fluid; Kidney transplantation; Body mass index; Internal medicine; Adipose tissue; Kidney; Body weight; Composition (language); Animal science; Endocrinology; Extracellular; Biology; Biochemistry","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":[0.001090217,0.0004642089,0.0008168773,0.0009471324,0.000434283,0.0001109693,0.0002695002,0.000218248,0.0005829161],"category_scores_gemma":[0.00002092039,0.0003390311,0.0004126639,0.0008268772,0.00009165665,0.0005282654,0.00001761445,0.001009501,0.00007985978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802829,"about_ca_system_score_gemma":0.0002403932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545862,"about_ca_topic_score_gemma":0.0002591149,"domain_scores_codex":[0.9961669,0.0004446155,0.00118734,0.0004100414,0.001047301,0.000743806],"domain_scores_gemma":[0.9984366,0.0001575167,0.0004629152,0.000326661,0.0001060025,0.0005102876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009505858,0.0007306195,0.9571006,0.0001142571,0.0006321927,0.003112208,0.003010097,0.0004521675,0.03061792,0.00001435441,0.000413513,0.002851531],"study_design_scores_gemma":[0.01161044,0.0003654268,0.9662091,0.002777301,0.0003967315,0.01314738,0.0001755593,0.0002414648,0.004188265,0.0001359824,0.0003913243,0.0003609915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892013,0.002604559,0.000797031,0.005443765,0.0003064943,0.000938514,0.00004712401,0.00004983817,0.0006113533],"genre_scores_gemma":[0.9804255,0.01509665,0.0004511342,0.00309305,0.0003902573,0.00004594871,0.0001500627,0.00006514494,0.0002822829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02642966,"threshold_uncertainty_score":0.9999062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614426627411382,"score_gpt":0.3051151617863431,"score_spread":0.2789708955122293,"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."}}