{"id":"W3081120989","doi":"10.1111/mcn.12710","title":"Childhood stunting and wasting in Myanmar: Key drivers and implications for policies and programmes","year":2020,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bank of Canada; Bill and Melinda Gates Foundation","keywords":"Wasting; Medicine; Underweight; Malnutrition; Residence; Demography; Relative risk; Environmental health; Pediatrics; Body mass index; Overweight; Confidence interval","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":[0.00005595261,0.000128167,0.0001639782,0.00008655921,0.0002606618,0.0002375212,0.00004101473,0.00005116278,0.000001210757],"category_scores_gemma":[0.00002811591,0.0001244562,0.0000202277,0.00008447636,0.00007173025,0.0002233743,0.00005919765,0.00009688502,2.100083e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008725665,"about_ca_system_score_gemma":0.000001382143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005930594,"about_ca_topic_score_gemma":0.00001655985,"domain_scores_codex":[0.9992803,0.00002042641,0.0001874994,0.0002698839,0.00005220263,0.0001897007],"domain_scores_gemma":[0.9997293,0.00004191536,0.00005809029,0.00004273299,0.00002253533,0.0001054146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001911689,0.0001641671,0.9674456,0.001359984,0.00001749925,0.000001437029,0.005130395,6.00392e-7,0.001448336,0.001340988,0.0001382333,0.02276159],"study_design_scores_gemma":[0.00300383,0.0001874741,0.9849954,0.0006189237,0.00003047366,0.00009215497,0.0004794931,0.0002089641,0.003254346,0.005174226,0.001765324,0.0001894299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958467,0.001387864,0.00006858759,0.03933605,0.00003235557,0.000547606,0.00006191095,0.00005634386,0.00004225083],"genre_scores_gemma":[0.9970808,0.0006089354,0.0009673425,0.001018725,0.0002335198,0.00004855058,0.0000257104,0.0000147483,0.000001639022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0386138,"threshold_uncertainty_score":0.5075178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304985322347421,"score_gpt":0.2498046137137492,"score_spread":0.236754760490275,"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."}}