{"id":"W3161286660","doi":"10.1111/tmi.13625","title":"Association of household wealth and education level with hypertension and diabetes among adults in Bangladesh: a propensity score‐based analysis","year":2021,"lang":"en","type":"article","venue":"Tropical Medicine & International Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diabetes mellitus; Medicine; Propensity score matching; Demography; Blood pressure; Odds ratio; Educational attainment; Odds; Gerontology; Logistic regression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278535,0.0001984667,0.0002754498,0.0009322753,0.000315494,0.0004267756,0.0002412832,0.0002733777,0.002618931],"category_scores_gemma":[0.003403305,0.0002217529,0.0006845659,0.001756741,0.0002171225,0.0003881473,0.0004679936,0.0003675267,0.0002500284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692716,"about_ca_system_score_gemma":0.0002803483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005878276,"about_ca_topic_score_gemma":0.005330587,"domain_scores_codex":[0.9992782,0.000253694,0.0001367087,0.000136422,0.0001188099,0.00007609969],"domain_scores_gemma":[0.9987586,0.0002320398,0.0005927555,0.0001910584,0.0001110334,0.0001144052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084622,0.00001396973,0.9983265,0.00001124347,0.0001671942,0.0000250476,0.00002934086,0.0000882887,0.00005258011,0.00003216096,0.0001160421,0.001029132],"study_design_scores_gemma":[0.00001201744,0.00007332013,0.9985071,0.0000103107,0.00008553822,0.0001047141,0.0001030031,0.0007212509,0.00003443663,0.00007669264,0.0002668659,0.000004727607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970066,0.0002889951,0.00059082,0.00006872095,0.000007231898,0.00004411869,0.001472381,0.00000554693,0.0005156153],"genre_scores_gemma":[0.9989949,0.00008433625,0.000161918,0.00001352466,0.00000386155,0.00002336956,0.000549857,0.000001525204,0.0001667177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005878276,"threshold_uncertainty_score":0.01168811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0633782028931194,"score_gpt":0.2629936182806017,"score_spread":0.1996154153874823,"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."}}