{"id":"W2791677458","doi":"10.18203/2394-6040.ijcmph20180775","title":"Socio-demographic determinants of vitamin A supplementation in Bangladesh: evidence from two rounds of Bangladesh demographic and health surveys, 2007 and 2011","year":2018,"lang":"en","type":"article","venue":"International Journal of Community Medicine and Public Health","topic":"Diverse Scientific Research Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrition International","funders":"Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University","keywords":"Confidence interval; Micronutrient; Medicine; Environmental health; Demography; Receipt; Population; Vitamin; Gerontology; Endocrinology; Internal medicine","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":[0.00292048,0.0003464573,0.0004056668,0.001686969,0.0003468931,0.0005974387,0.0005655634,0.0005471321,0.001953201],"category_scores_gemma":[0.009421646,0.0003836054,0.001009907,0.004170646,0.0004794288,0.0005589281,0.0007859449,0.0006353786,0.0004836665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008245611,"about_ca_system_score_gemma":0.001054019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08380093,"about_ca_topic_score_gemma":0.09819268,"domain_scores_codex":[0.997992,0.0007385563,0.0004125046,0.0002417273,0.0004108475,0.000204363],"domain_scores_gemma":[0.9917315,0.002259039,0.003641903,0.0003832429,0.001429186,0.0005552325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001028885,0.00001979703,0.9932988,0.0002998409,0.0002634426,0.00004384117,0.0003104237,0.00003873673,0.00003746452,0.00004207535,0.0007871457,0.0047555],"study_design_scores_gemma":[0.00000692455,0.00003950936,0.9982939,0.0001429153,0.0001089378,0.00005862412,0.0004469042,0.0000364211,0.00001826416,0.00001699204,0.0008249771,0.000005690116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259371,0.02031355,0.0003237152,0.002113889,0.00007189477,0.0001174234,0.04534062,0.00001743037,0.005764517],"genre_scores_gemma":[0.9852195,0.007622793,0.0002191465,0.0003139362,0.00002422054,0.00009941668,0.006159107,0.000004159864,0.000337829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08380093,"threshold_uncertainty_score":0.1666263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2898573021460323,"score_gpt":0.5210299628968666,"score_spread":0.2311726607508344,"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."}}