{"id":"W2897886066","doi":"10.1002/fsn3.798","title":"Prevalence and predictors of undernutrition among underfive children in Arusha District, Tanzania","year":2018,"lang":"en","type":"article","venue":"Food Science & Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Infrastructure for Microbiological Resources; Tanzania Commission for Science and Technology; Wellcome Trust; Wellcome","keywords":"Underweight; Wasting; Malnutrition; Tanzania; Medicine; Anthropometry; Breastfeeding; Environmental health; Weight for Age; Population; Malnutrition in children; Psychological intervention; Under-five; Pediatrics; Demography; Body mass index; Overweight; Geography","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":[0.0003128239,0.0002452921,0.0002492575,0.0008779308,0.000406049,0.0004327761,0.0002807362,0.000223236,0.001046517],"category_scores_gemma":[0.0006908775,0.0002594685,0.0001579309,0.0007541861,0.0003204482,0.0002321605,0.0004457618,0.0003312998,0.000122889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329444,"about_ca_system_score_gemma":0.0004654118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02932414,"about_ca_topic_score_gemma":0.04537367,"domain_scores_codex":[0.9997538,0.00006132459,0.00002216125,0.00003799489,0.00003522062,0.0000895138],"domain_scores_gemma":[0.9994208,0.00007007742,0.0002718972,0.00001912413,0.00006039715,0.0001577207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000168956,0.00001637053,0.9986148,0.00001445051,0.000006704198,0.0001294426,0.0003100184,0.0000166282,0.0002329922,0.0000110369,0.00006165777,0.0005690504],"study_design_scores_gemma":[0.000001597667,0.00003256893,0.9991912,0.000006794984,0.000003682227,0.0001003749,0.000550786,0.00003809277,0.00001664912,0.00000335276,0.00005371993,0.00000118095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997196,0.0000816496,0.000007718027,0.00001924142,0.000001304451,0.000003645105,0.00008365652,0.000001086298,0.00008209065],"genre_scores_gemma":[0.9998025,0.00005191875,0.00002151899,0.000007374045,0.000001399881,0.000004872673,0.00006809586,3.150764e-7,0.00004200885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02932414,"threshold_uncertainty_score":0.05830693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208076196093689,"score_gpt":0.2506431497912023,"score_spread":0.2385623878302655,"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."}}