{"id":"W2958862401","doi":"10.1002/ncp.10367","title":"Screening for Pediatric Malnutrition at Hospital Admission: Which Screening Tool Is Best?","year":2019,"lang":"en","type":"article","venue":"Nutrition in Clinical Practice","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Alberta; Alberta Health Services","funders":"","keywords":"Medicine; Receiver operating characteristic; Malnutrition; Prospective cohort study; Pediatrics; Population; Clinical Practice; Emergency medicine; Physical therapy; Surgery; Internal medicine; Environmental health","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":[0.005505432,0.0005668735,0.0008491853,0.001471609,0.0002898553,0.001192776,0.0005683226,0.0006871033,0.001223963],"category_scores_gemma":[0.03262925,0.0001384746,0.0004778438,0.001505006,0.0005148609,0.001340331,0.0005175928,0.0007830354,0.0002567755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118352,"about_ca_system_score_gemma":0.001633214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301983,"about_ca_topic_score_gemma":0.003341857,"domain_scores_codex":[0.9966834,0.00183218,0.0004467152,0.0002321638,0.0006041118,0.0002013102],"domain_scores_gemma":[0.9879044,0.006130571,0.003293901,0.0001589556,0.001911933,0.0006002388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004440739,0.0001999871,0.9318956,0.0004340771,0.00008846937,0.0001222297,0.0002122549,0.0002914681,0.0002262275,0.0001126579,0.001145032,0.06482793],"study_design_scores_gemma":[0.0001436696,0.00179556,0.9758288,0.003031248,0.0003281824,0.001454755,0.002100224,0.009569773,0.001990099,0.00135763,0.002323462,0.00007670258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974103,0.01019571,0.004928315,0.006741817,0.000180375,0.0001735677,0.000376026,0.0001073641,0.003193877],"genre_scores_gemma":[0.9859946,0.002561115,0.01055325,0.000353776,0.00007305609,0.00008147657,0.0002517599,0.000008068672,0.0001229074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005505432,"threshold_uncertainty_score":0.02911586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322960806185192,"score_gpt":0.468812666891044,"score_spread":0.3365165862725248,"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."}}