{"id":"W2996400304","doi":"10.1111/mcn.12923","title":"Child‐level double burden of malnutrition in the MENA and LAC regions: Prevalence and social determinants","year":2019,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; International Development Research Centre","keywords":"Overweight; Double burden; Medicine; Malnutrition; Odds; Demography; Obesity; Logistic regression; Odds ratio; Public health; Environmental health; Nutrition transition; Middle East; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001662431,0.0001408224,0.0002044893,0.0001228841,0.0001741636,0.0001044807,0.0001043999,0.00008877758,0.00001431057],"category_scores_gemma":[0.000002640485,0.0001117402,0.00003405675,0.00008833124,0.00009858852,0.0002907192,0.0000469383,0.0001511184,0.000002445297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303013,"about_ca_system_score_gemma":0.000001409068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827368,"about_ca_topic_score_gemma":0.00002457039,"domain_scores_codex":[0.999053,0.00007821753,0.0002568054,0.0002574355,0.000179057,0.0001755024],"domain_scores_gemma":[0.9997123,0.00002647045,0.0001009956,0.0001001637,0.00002912537,0.00003094034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009603692,0.001820831,0.928303,0.02155529,0.00006486404,0.00005260214,0.01345494,0.000001927459,0.005816237,0.004673127,0.001415585,0.01323788],"study_design_scores_gemma":[0.009278668,0.0003077884,0.9639415,0.00252547,0.00005114787,0.0005538131,0.0003387577,0.0001067075,0.0151807,0.005796993,0.001653697,0.0002647634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988406,0.00138777,0.000002572017,0.009135592,0.00009996828,0.0006315787,0.00008213455,0.00001764567,0.000236756],"genre_scores_gemma":[0.9979888,0.001318011,0.00003710882,0.0003406134,0.0002273674,0.00002996268,0.0000170159,0.00001134092,0.00002980413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563846,"threshold_uncertainty_score":0.4556632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898796557610371,"score_gpt":0.2603552808343629,"score_spread":0.2413673152582592,"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."}}