{"id":"W4386297150","doi":"10.57138/hkfc5019","title":"Dietary Diversity among Children Aged 6-23 Months in Bangladesh: Determinants and Inequalities","year":2023,"lang":"en","type":"article","venue":"The Bangladesh Development Studies","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Meal; Malnutrition; Logistic regression; Medicine; Food group; Dietary diversity; Environmental health; Diversity (politics); Descriptive statistics; Bivariate analysis; Inequality; Demography; Biology; Food security; Mathematics; Statistics; Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004602791,0.0001893273,0.0002881308,0.0007820581,0.0005617346,0.0006060355,0.000272049,0.0002865575,0.001863547],"category_scores_gemma":[0.001454697,0.0002019998,0.0003196287,0.002300409,0.0003418863,0.0005084792,0.0007508722,0.0005467711,0.0002835736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161621,"about_ca_system_score_gemma":0.0005373996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07139846,"about_ca_topic_score_gemma":0.08502221,"domain_scores_codex":[0.999574,0.00008213664,0.00006735827,0.00008149372,0.00009177907,0.0001033379],"domain_scores_gemma":[0.9991995,0.0001252142,0.0004046634,0.00003777149,0.00007738418,0.0001555339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002127106,0.00002178035,0.9968601,0.00002504284,0.00001817492,0.00005996446,0.0005902816,0.00003715765,0.00009920393,0.00006128715,0.0001495055,0.002056184],"study_design_scores_gemma":[9.453288e-7,0.00002076855,0.9987207,0.00002479061,0.000005083131,0.00006167019,0.0008627258,0.0000463924,0.00001205101,0.00004154347,0.0002002197,0.000003083128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957268,0.0006918795,0.00005716052,0.0003226619,0.00000490191,0.0000128256,0.001890633,0.000002642176,0.001290614],"genre_scores_gemma":[0.9987438,0.0004818358,0.00009008752,0.00002744657,0.000003757046,0.00001349107,0.000507266,0.000001205249,0.0001311143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07139846,"threshold_uncertainty_score":0.1419657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403404124284015,"score_gpt":0.2908503713954219,"score_spread":0.2368163301525818,"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."}}