{"id":"W2415454735","doi":"10.7448/ias.19.1.20777","title":"Use of an HIV‐risk screening tool to identify optimal candidates for PrEP scale‐up among men who have sex with men in Toronto, Canada: disconnect between objective and subjective HIV risk","year":2016,"lang":"en","type":"article","venue":"Journal of the International AIDS Society","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; AIDS Committee of Toronto; Hassle Free Clinic; BC Centre for Disease Control; Public Health Ontario; University of Toronto; Toronto Metropolitan University; Canadian AIDS Treatment Information Exchange","funders":"Canadian Institutes of Health Research; Gilead Sciences","keywords":"Medicine; Pre-exposure prophylaxis; Men who have sex with men; Logistic regression; Demography; Risk assessment; Human immunodeficiency virus (HIV); Family medicine; Framingham Risk Score; Environmental health; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009541515,0.0001486849,0.0003711005,0.00007114184,0.0001201775,0.00006265062,0.0002990903,0.00005646934,0.00006311201],"category_scores_gemma":[0.0008574263,0.00008207027,0.0002535062,0.00008251685,0.0001388384,0.0008404507,0.0001423115,0.0002765917,1.873934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171781,"about_ca_system_score_gemma":0.0003741404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2271998,"about_ca_topic_score_gemma":0.2567452,"domain_scores_codex":[0.9981823,0.0001516133,0.0005066663,0.0002154017,0.0007062773,0.000237768],"domain_scores_gemma":[0.9980035,0.0005192428,0.0004865456,0.0001656375,0.0006351208,0.0001899039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009115587,0.00006618316,0.9717255,0.00001579696,0.001398211,0.000003582339,0.002127388,0.0001033421,0.001384454,0.00001012867,0.01695121,0.005302706],"study_design_scores_gemma":[0.002785074,0.001775236,0.9673715,0.0007928303,0.0001985087,0.00002636929,0.007819953,0.007887667,0.01096469,0.00006264382,0.0001882274,0.0001272885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810848,0.00003727653,0.01601341,0.0008509082,0.0000251348,0.0004844483,0.001108731,0.000003485114,0.0003918299],"genre_scores_gemma":[0.9836169,0.00005952,0.004697878,0.00002719231,0.0002160304,0.00002389654,0.00001091041,0.00001994215,0.01132768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02954538,"threshold_uncertainty_score":0.7779464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668383596444494,"score_gpt":0.315609328398275,"score_spread":0.2989254924338301,"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."}}