{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309644,0.0001308302,0.0003860537,0.0003234805,0.00009233408,0.00006039451,0.0001138385,0.00006472698,0.0002872285],"category_scores_gemma":[0.0003827536,0.0001227607,0.00009258195,0.0003784717,0.00004743045,0.0006206302,0.0001207061,0.0001874176,0.00001262843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337408,"about_ca_system_score_gemma":0.0001241913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1196321,"about_ca_topic_score_gemma":0.02797831,"domain_scores_codex":[0.9986956,0.0001130433,0.0004317496,0.0002951805,0.0001624426,0.0003020179],"domain_scores_gemma":[0.9992138,0.00007875223,0.0001172732,0.0002466839,0.00006555205,0.0002779237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001045301,0.0002903862,0.9898713,0.000137464,0.00002130113,0.000005096454,0.0001782915,0.0004123955,0.002377571,0.0002255447,0.0002146972,0.006161439],"study_design_scores_gemma":[0.001669209,0.0003715092,0.9905994,0.001043251,0.0000397534,0.000008017868,0.0001119457,0.004807204,0.000168499,0.0006639022,0.0003891562,0.0001281335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930136,0.0001684258,0.004166589,0.0003671946,0.00005558151,0.001363267,0.0001212966,0.0000182876,0.0007258179],"genre_scores_gemma":[0.997243,0.00006794767,0.0006672334,0.00009787647,0.00002032267,0.0000612045,0.00007470191,0.00002264753,0.001744994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09165382,"threshold_uncertainty_score":0.9897586,"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."}}