{"id":"W3010961550","doi":"10.1016/j.puhe.2020.01.014","title":"The effect of gender inequality on HIV incidence in Sub-Saharan Africa","year":2020,"lang":"en","type":"article","venue":"Public Health","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Dalhousie University; Université du Québec en Outaouais","funders":"","keywords":"Incidence (geometry); Inequality; Demography; Psychological intervention; Panel data; Medicine; Confidence interval; Developing country; Demographic economics; Economics; Economic growth; Econometrics; Sociology; Mathematics","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":[0.008480909,0.0001886355,0.00051962,0.00008783876,0.0007876074,0.000007606481,0.0003367897,0.0001283328,0.00005204228],"category_scores_gemma":[0.003200277,0.0001107455,0.00005419911,0.0007500384,0.0001194563,0.0001112108,0.0001545075,0.001268313,0.0003264112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541055,"about_ca_system_score_gemma":0.001382701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025909,"about_ca_topic_score_gemma":0.00008679678,"domain_scores_codex":[0.9915425,0.005360988,0.001034686,0.0005095278,0.0004912916,0.001061022],"domain_scores_gemma":[0.9966875,0.00161099,0.000491575,0.0005038869,0.00011687,0.0005891282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063328,0.0004793409,0.7257277,0.006993995,0.00003761973,0.0000071911,0.03761125,0.00001971224,0.0002250187,0.006693981,0.1760597,0.04508122],"study_design_scores_gemma":[0.002046984,0.001632022,0.6897189,0.0002712374,0.00000353928,8.435005e-7,0.001771445,0.0002920832,0.00009220507,0.000308563,0.3036137,0.0002485025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7392107,0.00246107,0.0005484475,0.2499774,0.0006963778,0.003078526,0.00004774628,0.0001351288,0.003844663],"genre_scores_gemma":[0.9912652,0.0006069983,0.00002078218,0.007395655,0.0004254873,0.0001223768,0.00001457126,0.00002277935,0.0001261855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520545,"threshold_uncertainty_score":0.6057719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2845016140029303,"score_gpt":0.461684890152473,"score_spread":0.1771832761495427,"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."}}