{"id":"W2969602822","doi":"10.1097/01.tp.0000576216.18319.d0","title":"P3.48: Body composition of pediatric patients with intestinal failure","year":2019,"lang":"en","type":"article","venue":"Transplantation","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Lean body mass; Anthropometry; Cohort; Dual-energy X-ray absorptiometry; Body mass index; Retrospective cohort study; Demographics; Fat mass; Composition (language); Bioelectrical impedance analysis; Pediatrics; Internal medicine; Body weight; Demography; Bone mineral","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":[0.0003023891,0.0002328246,0.000324063,0.0007080333,0.0003337519,0.0003861345,0.0002169998,0.0002466165,0.003011249],"category_scores_gemma":[0.0009937671,0.0001133716,0.000219028,0.0009049912,0.0002122807,0.0003336183,0.000335276,0.000384385,0.0003816658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028876,"about_ca_system_score_gemma":0.0002841709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484954,"about_ca_topic_score_gemma":0.001265695,"domain_scores_codex":[0.9997901,0.00003378736,0.00003031373,0.00004713575,0.00005804612,0.00004065964],"domain_scores_gemma":[0.9993047,0.00008798971,0.0003855828,0.00002009183,0.00006498407,0.0001366347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000351758,0.00001311072,0.9987158,0.000008044195,0.000005528488,0.00008508295,0.00001781372,0.0000122066,0.00009259504,0.000004756551,0.00008385425,0.0009259872],"study_design_scores_gemma":[0.000002981742,0.00008964672,0.9987463,0.000007922382,0.00000537345,0.0008303516,0.00005507558,0.00004508619,0.00005857076,0.000006696786,0.0001507721,0.000001177751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980791,0.0003516821,0.00006728813,0.00005555903,0.000005766747,0.00001223643,0.0008303902,0.000007734177,0.0005902348],"genre_scores_gemma":[0.999006,0.0001506075,0.0001275298,0.0000277749,0.00001123905,0.00001969351,0.0005327957,0.000002338697,0.0001220201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003011249,"threshold_uncertainty_score":0.01007366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005500186147395696,"score_gpt":0.2208892053601624,"score_spread":0.2153890192127667,"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."}}