{"id":"W3095934718","doi":"","title":"Mid upper arm circumference and weight for height z-score as screening tools for acute malnutrition in underweight children <5 years of age","year":2020,"lang":"en","type":"article","venue":"","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Underweight; Medicine; Malnutrition; Severe Acute Malnutrition; Malnutrition in children; Pediatrics; Anthropometry; Standard score; Wasting; Weight for Age; Circumference; Body mass index; Overweight; Internal medicine","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":[0.001079492,0.0004795365,0.0004306891,0.001688622,0.0001888785,0.000498233,0.0003244089,0.0003567854,0.001508854],"category_scores_gemma":[0.002372856,0.0001744139,0.0003258487,0.0008501224,0.000208239,0.0004048281,0.0003643025,0.00061605,0.0002002978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899737,"about_ca_system_score_gemma":0.0003436506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507897,"about_ca_topic_score_gemma":0.003255481,"domain_scores_codex":[0.9992071,0.000362768,0.00007738286,0.00006829964,0.000215979,0.00006852512],"domain_scores_gemma":[0.9986811,0.0003678135,0.0005263464,0.00001911408,0.0001645551,0.0002410396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003427256,0.0001432745,0.9903407,0.00009263706,0.00004738198,0.0001298225,0.00009033566,0.00009153222,0.0002884707,0.00002949847,0.0003180546,0.008085668],"study_design_scores_gemma":[0.00003112139,0.0008874025,0.9966923,0.00008769326,0.00005225075,0.0006152852,0.0002868638,0.000675628,0.0002049871,0.00004710016,0.0004098935,0.000009474685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934171,0.003970113,0.0003410661,0.000231307,0.00005674437,0.00007511824,0.0005015786,0.00001935858,0.001387723],"genre_scores_gemma":[0.9958105,0.001197507,0.001928058,0.00005278097,0.00003679919,0.00007540693,0.000481674,0.000002185481,0.0004151771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001688622,"threshold_uncertainty_score":0.005708933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933605574102784,"score_gpt":0.2885578743228313,"score_spread":0.2492218185818034,"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."}}