{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191948,0.0005187656,0.0006176682,0.001062928,0.001264936,0.00194574,0.001338872,0.00125753,0.004393377],"category_scores_gemma":[0.004983776,0.0004438647,0.0007130557,0.001946857,0.001073404,0.001994371,0.003674899,0.002282341,0.0002528891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003289778,"about_ca_system_score_gemma":0.01116838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09962437,"about_ca_topic_score_gemma":0.09912226,"domain_scores_codex":[0.9985982,0.0005000008,0.00007186461,0.0001095541,0.00008208102,0.0006382405],"domain_scores_gemma":[0.9973723,0.000555963,0.0008509869,0.00007287375,0.0002926936,0.0008552236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001476637,0.0003525146,0.8623605,0.003499224,0.0005167249,0.002151711,0.00754212,0.001301016,0.0007432937,0.00914652,0.01499354,0.0972451],"study_design_scores_gemma":[0.00002916756,0.0001913245,0.9537982,0.003738479,0.0002664374,0.0004655177,0.02402361,0.001490979,0.000176847,0.00374455,0.01201942,0.00005544646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352853,0.06525852,0.001043941,0.184044,0.0005006566,0.0002510252,0.004365942,0.0001029715,0.009147735],"genre_scores_gemma":[0.9648504,0.02915096,0.0008857062,0.002870718,0.0001821851,0.0002027359,0.0008315308,0.00001372343,0.001012058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09962437,"threshold_uncertainty_score":0.198089,"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."}}