{"id":"W2974147994","doi":"10.1136/bmjopen-2019-029364","title":"Sex-specific prevalence, inequality and associated predictors of hypertension, diabetes, and comorbidity among Bangladeshi adults: results from a nationwide cross-sectional demographic and health survey","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Comorbidity; Medicine; Diabetes mellitus; Cross-sectional study; Socioeconomic status; Demography; Logistic regression; National Health and Nutrition Examination Survey; Population; Gerontology; Environmental health; Internal medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003311163,0.0001688107,0.0004999688,0.0001096484,0.0001084385,0.0001464641,0.0001333814,0.0000998949,0.00005668863],"category_scores_gemma":[0.0005751775,0.00015243,0.00003234264,0.0002535685,0.0002585849,0.0003328338,0.0003443052,0.0001469596,0.000001485111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000057839,"about_ca_system_score_gemma":0.0001707815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006240755,"about_ca_topic_score_gemma":0.002639692,"domain_scores_codex":[0.997795,0.0003600951,0.0006360943,0.0005572831,0.0004350823,0.0002164382],"domain_scores_gemma":[0.9983163,0.000496231,0.000410914,0.0003810834,0.0002155901,0.0001798045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005816423,0.000142463,0.9958133,0.0004528358,0.000156668,0.00000282645,0.000173966,0.000002497636,0.00001299854,0.00002730404,0.002466903,0.0001665564],"study_design_scores_gemma":[0.006885347,0.0002469449,0.9911706,0.0006598008,0.00003225656,0.000001367382,0.000120863,0.0005473937,0.000007283308,0.0001347022,0.00004917382,0.0001442696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928492,0.0005252255,0.000001831056,0.0002144914,0.0001354857,0.00397904,0.00187646,0.00003593932,0.0003822974],"genre_scores_gemma":[0.9974011,0.0004643731,0.00004058132,0.0001508267,0.00004486421,0.00006050846,0.001590642,0.00001555247,0.0002315977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006303705,"threshold_uncertainty_score":0.9434196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261097362607894,"score_gpt":0.3696800048290573,"score_spread":0.243570268568268,"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."}}