{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767608,0.0001616757,0.0001943813,0.0005222557,0.0002668957,0.0001170546,0.0003223249,0.00009390307,0.000018521],"category_scores_gemma":[0.0001030743,0.0001653951,0.00004357835,0.001312136,0.001481572,0.001106679,0.00008315619,0.0001483983,0.00000420788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501218,"about_ca_system_score_gemma":0.0000262974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014856,"about_ca_topic_score_gemma":0.0001864733,"domain_scores_codex":[0.9981498,0.00007299076,0.000390515,0.000526976,0.000495578,0.0003641383],"domain_scores_gemma":[0.9992723,0.0000426274,0.0001191503,0.0002353242,0.0001966489,0.000133907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002615524,0.0008695077,0.9807919,0.0003303854,0.000007780351,0.000001132805,0.0007840269,0.000001350959,0.01559496,0.0005108398,0.0003788317,0.0004677573],"study_design_scores_gemma":[0.001773221,0.00107337,0.8817632,0.0006132228,0.00001938636,0.0000164605,0.0001027898,0.0001216755,0.1098537,0.004461636,0.00002619662,0.000175094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997386,0.0003092766,0.0001438858,0.0006229664,0.0003637264,0.0007481549,0.0001077095,0.00006827683,0.0002499607],"genre_scores_gemma":[0.9992894,0.0001086205,0.0001644889,0.00008915334,0.0002718968,0.00003046012,0.00002914933,0.00001201291,0.000004802187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09902867,"threshold_uncertainty_score":0.6744617,"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."}}