{"id":"W2911549609","doi":"10.1093/ofid/ofz080","title":"In-depth Sampling of High-risk Populations to Characterize HIV Transmission Epidemics Among Young MSM Using PrEP in France and Quebec","year":2019,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University","funders":"National Institute of Allergy and Infectious Diseases; Fonds de Recherche du Québec - Santé; National Institute of Mental Health; Institut National de la Santé et de la Recherche Médicale; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Medicine; Men who have sex with men; Human immunodeficiency virus (HIV); Transmission (telecommunications); Demography; Sampling (signal processing); Pre-exposure prophylaxis; Virology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243374,0.0002943871,0.0002927685,0.001106107,0.001045431,0.0006353554,0.0008042813,0.0003248094,0.002234199],"category_scores_gemma":[0.001616097,0.000144825,0.0002443029,0.001255564,0.0002510676,0.0002821672,0.0004964687,0.0002944626,0.0001697605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005802893,"about_ca_system_score_gemma":0.005453597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9123905,"about_ca_topic_score_gemma":0.9286454,"domain_scores_codex":[0.9992924,0.0002478691,0.0000288079,0.0001223313,0.0001158938,0.0001926862],"domain_scores_gemma":[0.9989989,0.0001242596,0.0002589039,0.00005166738,0.0003455946,0.0002206177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001238265,0.00005372534,0.981392,0.00006446487,0.0001035217,0.0001646143,0.0007067322,0.0005785528,0.00129057,0.0001695551,0.001407336,0.01394514],"study_design_scores_gemma":[0.000008489253,0.00005720742,0.9966741,0.00002645846,0.00001757351,0.0000721358,0.0005362076,0.00135533,0.0001171086,0.0000298924,0.001100583,0.000004952276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901535,0.0008628364,0.001880004,0.0002775058,0.00000883731,0.0003971821,0.004321676,0.00003069863,0.002067759],"genre_scores_gemma":[0.9961975,0.0002669832,0.001076801,0.0001680619,0.000008875479,0.0001157001,0.00123365,0.00000508958,0.0009274937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08760947,"threshold_uncertainty_score":0.1762508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788767738160806,"score_gpt":0.342298896473833,"score_spread":0.314411219092225,"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."}}