{"id":"W2144795401","doi":"10.1093/heapol/czt075","title":"What lies behind gender inequalities in HIV/AIDS in sub-Saharan African countries: evidence from Kenya, Lesotho and Tanzania","year":2013,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Tanzania; Developing country; Human immunodeficiency virus (HIV); Inequality; Economic growth; Gender inequality; Development economics; Political science; Socioeconomics; Geography; Medicine; Sociology; Virology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001578278,0.0002019283,0.0003198772,0.001391495,0.0007540758,0.00096255,0.0004764778,0.000467602,0.002066162],"category_scores_gemma":[0.005188561,0.0003177108,0.0005259499,0.002181181,0.001550107,0.0009272498,0.001014898,0.000617781,0.0001027923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007178002,"about_ca_system_score_gemma":0.00113881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.054308,"about_ca_topic_score_gemma":0.09425076,"domain_scores_codex":[0.9991727,0.0003495596,0.00005597452,0.00008897747,0.0000903094,0.0002424127],"domain_scores_gemma":[0.9961172,0.001576811,0.001525576,0.0001184081,0.0002789667,0.0003830382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003412057,0.00004547734,0.9501681,0.0008475541,0.0004917947,0.0007470727,0.01031352,0.0001265373,0.0003220559,0.002050329,0.001112985,0.03343356],"study_design_scores_gemma":[0.00001299422,0.00003099174,0.9921569,0.000564189,0.0001370269,0.0001316964,0.004684517,0.00008496569,0.00003586414,0.0004260688,0.001727641,0.000007187995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596556,0.03192623,0.0001138407,0.004418328,0.00005170055,0.00001451592,0.0004757623,0.000002226152,0.003341761],"genre_scores_gemma":[0.9940095,0.00547445,0.00005408686,0.0002571933,0.00003552703,0.000005235396,0.0000769327,0.000001193102,0.00008582325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.054308,"threshold_uncertainty_score":0.1079838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061308012086107,"score_gpt":0.3323601468671557,"score_spread":0.226229345658545,"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."}}