{"id":"W2792274272","doi":"10.1371/journal.pone.0191251","title":"Contexts of vulnerability and the acceptability of new biomedical HIV prevention technologies among key populations in South Africa: A qualitative study","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Inyuvesi Yakwazulu-Natali; Universiteit Stellenbosch; Canada Research Chairs","keywords":"Vulnerability (computing); Key (lock); Human immunodeficiency virus (HIV); Medicine; Environmental health; Data science; Virology; Computer science; Computer security","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":[0.001567254,0.00007655864,0.0004103165,0.0001788208,0.00005155884,0.000006108889,0.000111556,0.00006424046,0.0003434641],"category_scores_gemma":[0.005499938,0.00004926557,0.00007821395,0.0003905308,0.001624203,0.00008401639,0.0001161636,0.0002156182,0.000003653832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003394722,"about_ca_system_score_gemma":0.00007012527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003873845,"about_ca_topic_score_gemma":0.0007997635,"domain_scores_codex":[0.9982089,0.000538023,0.0005115631,0.0001938755,0.0004027128,0.0001449183],"domain_scores_gemma":[0.998986,0.0002370978,0.0001362898,0.0003488327,0.0002302396,0.0000615555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001493343,0.0240905,0.5466821,0.0004440986,0.0006461838,0.000001403269,0.4062085,7.316447e-8,0.002027993,0.001206849,0.0006556502,0.01654335],"study_design_scores_gemma":[0.006591175,0.007397222,0.7455878,0.0003506093,0.0002062373,3.139953e-7,0.2222399,0.0006564627,0.00340953,0.01347022,0.000008195002,0.00008242488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960537,0.0001841219,0.0005018672,0.00101254,0.000003982292,0.001398384,0.00003542232,0.00003038711,0.0007796058],"genre_scores_gemma":[0.9978161,0.000004945788,0.0009437098,0.000001330162,0.00001608462,0.00008302405,0.000009136035,0.000004838708,0.001120861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1989057,"threshold_uncertainty_score":0.6584336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545537789102085,"score_gpt":0.4136821555723668,"score_spread":0.2591283766621583,"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."}}