{"id":"W2404037475","doi":"10.1111/mcn.12284","title":"Imperatives for reducing child stunting in Bangladesh","year":2016,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Sanitation; Environmental health; Hygiene; Functional illiteracy; Poverty; Malnutrition; Open defecation; Slum; Child mortality; Severe Acute Malnutrition; Pediatrics; Population; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003649431,0.0007781695,0.0007061154,0.0010467,0.001294224,0.002762814,0.002263219,0.002646402,0.02215941],"category_scores_gemma":[0.008142785,0.000296505,0.0007274598,0.0009306574,0.001175894,0.002327791,0.00410453,0.004248317,0.002805468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250258,"about_ca_system_score_gemma":0.01185986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864406,"about_ca_topic_score_gemma":0.03703442,"domain_scores_codex":[0.9981794,0.0007899513,0.0001235244,0.0001126366,0.0003973943,0.0003970031],"domain_scores_gemma":[0.9948447,0.0006438031,0.0005645796,0.0001372639,0.001111614,0.00269803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003247767,0.001266501,0.04105829,0.01251246,0.0003107286,0.003858488,0.0108722,0.001233675,0.008720664,0.03054659,0.3903216,0.4989742],"study_design_scores_gemma":[0.0001912036,0.0008237335,0.09420038,0.01445604,0.0002051221,0.001377866,0.01924924,0.0005698744,0.001074796,0.03160124,0.836083,0.0001674594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0551121,0.0876666,0.006102022,0.7367095,0.004843559,0.0008047318,0.002564465,0.0006925032,0.1055045],"genre_scores_gemma":[0.5519039,0.1901823,0.0415455,0.1737846,0.003644697,0.002157429,0.002957809,0.0002040389,0.03361976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02864406,"threshold_uncertainty_score":0.07413065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008974194439425933,"score_gpt":0.2472097091073643,"score_spread":0.2382355146679384,"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."}}