{"id":"W2808046551","doi":"10.1016/j.annepidem.2018.06.005","title":"The prevalence of pre-exposure prophylaxis use and the pre-exposure prophylaxis–to-need ratio in the fourth quarter of 2017, United States","year":2018,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":427,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Center for Advancing Translational Sciences; National Institute of Mental Health","keywords":"Medicine; Pre-exposure prophylaxis; Emtricitabine; Medical prescription; Epidemiology; Human immunodeficiency virus (HIV); Demography; Quarter (Canadian coin); Tenofovir; Pediatrics; Men who have sex with men; Family medicine; Internal medicine; Antiretroviral therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006310425,0.0002336967,0.0002527746,0.001159842,0.000279893,0.000637364,0.0004790704,0.0003657526,0.001591961],"category_scores_gemma":[0.001815607,0.000223056,0.0005412187,0.00113812,0.000246997,0.0005438008,0.0005679438,0.0006485067,0.0003918038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009429784,"about_ca_system_score_gemma":0.0009820038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03613264,"about_ca_topic_score_gemma":0.03195276,"domain_scores_codex":[0.99937,0.000112879,0.0001025187,0.00009738074,0.0002024408,0.000114731],"domain_scores_gemma":[0.9982371,0.0001041961,0.001103366,0.00004607943,0.0002725809,0.0002365921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001885014,0.00001606282,0.9981192,0.000008996547,0.00002050602,0.00001925719,0.00005072887,0.0000263317,0.00004523026,0.00001900041,0.0006497118,0.001006261],"study_design_scores_gemma":[0.000002412995,0.0000190052,0.9989136,0.00001582056,0.000009160091,0.0001244974,0.0002966555,0.0001749074,0.00006377378,0.00001737267,0.0003604506,0.000002257675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924967,0.0006095276,0.0001080279,0.0003874506,0.00003006775,0.00002444938,0.005229092,0.00002337803,0.001091331],"genre_scores_gemma":[0.9958194,0.0003202253,0.0001094791,0.0001414399,0.00002373007,0.00002782581,0.00329742,0.000005212175,0.0002552175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03613264,"threshold_uncertainty_score":0.07184464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08484500390149381,"score_gpt":0.3947155100555875,"score_spread":0.3098705061540937,"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."}}