{"id":"W7075306918","doi":"","title":"Couple concordance in diabetes, hypertension and dyslipidaemia in urban India and Pakistan and associated socioeconomic and household characteristics and modifiable risk factors","year":2023,"lang":"en","type":"article","venue":"eCommons - AKU (Aga Khan University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"","keywords":"Concordance; Socioeconomic status; Spouse; Odds ratio; Logistic regression; Multinomial logistic regression; Cohort; Odds","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":[0.001299666,0.0001536301,0.0002319275,0.0006807074,0.0005911058,0.0006297349,0.0003607823,0.0002472961,0.001284669],"category_scores_gemma":[0.003442636,0.0003035097,0.0002878903,0.00128156,0.0004273319,0.0003235423,0.0008936879,0.0003962111,0.0001344249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023376,"about_ca_system_score_gemma":0.0002949059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122264,"about_ca_topic_score_gemma":0.01167839,"domain_scores_codex":[0.9990162,0.0004648854,0.00008421034,0.0001808474,0.0001555715,0.00009838607],"domain_scores_gemma":[0.9977785,0.0005857308,0.001147322,0.0002048826,0.0001261979,0.0001573196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001663674,0.000004913799,0.9992402,0.000002868838,0.00001834073,0.00003843258,0.000265289,0.00001473581,0.0000215467,0.00001285214,0.00002527279,0.0003388878],"study_design_scores_gemma":[0.000001798346,0.00003058077,0.9986053,0.000006867204,0.00001372469,0.0002666751,0.0008169627,0.0001223048,0.00002904735,0.0000262608,0.0000776619,0.000002852615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995106,0.00006890183,0.00007764881,0.00001662611,0.000001685059,0.000004555724,0.0001300259,0.000001166393,0.0001887376],"genre_scores_gemma":[0.9997177,0.00003964291,0.00004812266,0.000008764488,0.000001912706,0.000005080651,0.00011292,6.157195e-7,0.00006534733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122264,"threshold_uncertainty_score":0.02431047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254031770418381,"score_gpt":0.177516868102671,"score_spread":0.1521136910608329,"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."}}