{"id":"W1967703625","doi":"10.1371/journal.pone.0111956","title":"How Can We Get Close to Zero? The Potential Contribution of Biomedical Prevention and the Investment Framework towards an Effective Response to HIV","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"Medical Research Council; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Imperial College London; World Health Organization; London School of Hygiene and Tropical Medicine; International AIDS Vaccine Initiative; University of Washington; Georgetown University; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Medicine; Psychological intervention; Intensive care medicine; Human immunodeficiency virus (HIV); Pre-exposure prophylaxis; Antiretroviral therapy; HIV vaccine; Viral load; Immunology; Vaccine trial; Men who have sex with men","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001971659,0.0001082401,0.0002943362,0.0001386164,0.000130949,0.00004849296,0.0001382819,0.00008863634,0.00004134627],"category_scores_gemma":[0.006398697,0.00006031387,0.0001009863,0.0002564228,0.0002767893,0.00005421613,0.0001084736,0.000271323,0.00001516635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008245672,"about_ca_system_score_gemma":0.00006790136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007701137,"about_ca_topic_score_gemma":0.00003997978,"domain_scores_codex":[0.9974265,0.001267809,0.0002060278,0.0002176028,0.0006323828,0.0002497394],"domain_scores_gemma":[0.9985908,0.0003590393,0.00006132514,0.0003821715,0.0002427684,0.0003638981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05851254,0.01241615,0.001437074,0.0006941867,0.003106424,0.0000312651,0.01204291,0.000004296687,0.6783943,0.04249494,0.02612143,0.1647445],"study_design_scores_gemma":[0.04253151,0.1643729,0.2001924,0.01457043,0.004099382,0.00008462557,0.003840474,0.02195629,0.3761488,0.1397939,0.03125709,0.001152221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628817,0.0001310205,0.02858455,0.1061487,0.00002253112,0.002073796,0.0000596135,0.0000213238,0.00007673363],"genre_scores_gemma":[0.9950101,0.00003679389,0.001325447,0.0006815199,0.000185653,0.0003398748,0.00004366061,0.00001210802,0.002364865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3022455,"threshold_uncertainty_score":0.76603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668103363677522,"score_gpt":0.3023338486723821,"score_spread":0.2856528150356069,"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."}}