{"id":"W3170066893","doi":"10.1017/s0144686x21000532","title":"Social network characteristics and HIV testing among older adults in South Africa","year":2021,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Aging; Wellcome Trust","keywords":"Health literacy; Social network (sociolinguistics); Public health; Context (archaeology); Literacy; Social capital; Gerontology; Logistic regression; Population; Psychology; Geography; Sociology; Environmental health; Economic growth; Medicine; Political science; Health care; Social science","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":[0.0004243749,0.000137786,0.0001548819,0.0008241016,0.0007565381,0.0006538308,0.000193587,0.0002630208,0.001977485],"category_scores_gemma":[0.002828768,0.0001196173,0.0001744427,0.001215386,0.0003072353,0.0008403363,0.0009709746,0.0003522299,0.00008515311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086103,"about_ca_system_score_gemma":0.0005137897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03497494,"about_ca_topic_score_gemma":0.05927019,"domain_scores_codex":[0.9998022,0.00005165382,0.000024918,0.00002715695,0.00003161626,0.00006249177],"domain_scores_gemma":[0.999199,0.000153217,0.0004462225,0.00002092609,0.00004195403,0.0001387543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003487231,0.00004189764,0.9870049,0.0000503036,0.00002560673,0.000173879,0.007020829,0.00004998282,0.0001853845,0.0001671995,0.0001206612,0.005124446],"study_design_scores_gemma":[0.0000029122,0.00003976459,0.990954,0.00006582184,0.00001347266,0.0001458241,0.008136867,0.00009002718,0.00002403516,0.00010106,0.000422411,0.000003757868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991599,0.0001960972,0.00001633604,0.0001289388,0.000001844132,0.000006467887,0.0000916377,3.525412e-7,0.0003983739],"genre_scores_gemma":[0.999586,0.0002148318,0.00002393905,0.00002223206,0.000002971778,0.000006630109,0.00004217483,3.383634e-7,0.0001008104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03497494,"threshold_uncertainty_score":0.06954271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479312214995269,"score_gpt":0.2790176883808204,"score_spread":0.2542245662308676,"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."}}