{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002949942,0.0002630456,0.0006741635,0.0003326123,0.00024369,0.000065699,0.0001438158,0.0005492059,0.001154233],"category_scores_gemma":[0.006061527,0.0002840605,0.0003117794,0.0007528136,0.00004150717,0.0008325729,0.00009349189,0.001146481,0.0004116763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718767,"about_ca_system_score_gemma":0.0001519395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001617936,"about_ca_topic_score_gemma":0.000003125839,"domain_scores_codex":[0.9958869,0.0002970211,0.001739485,0.0008288927,0.0006739993,0.0005737612],"domain_scores_gemma":[0.993209,0.0044334,0.0006192126,0.0004697839,0.0008502796,0.0004183051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01998618,0.01640671,0.7072705,0.008592097,0.0001458199,0.0001822066,0.0003229607,0.00001081743,0.0003430932,0.001156849,0.2158602,0.0297225],"study_design_scores_gemma":[0.0531454,0.005865101,0.08902214,0.004026412,0.0006147347,0.0003099913,0.001577258,0.003894744,0.0003409953,0.001448485,0.8388008,0.0009539446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646441,0.004123858,0.009874269,0.2017206,0.002952548,0.008924218,0.0001650704,0.0003690776,0.00722625],"genre_scores_gemma":[0.5988943,0.009094062,0.3579484,0.02471645,0.005820872,0.0006549928,0.0004735998,0.0001288211,0.002268561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6229405,"threshold_uncertainty_score":0.9999611,"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."}}