{"id":"W3111817934","doi":"10.3390/v12121402","title":"Increased HIV Subtype Diversity Reflecting Demographic Changes in the HIV Epidemic in New South Wales, Australia","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of New South Wales; NSW Ministry of Health; Australian Government; National Health and Medical Research Council; McGill University","keywords":"Transmission (telecommunications); Demography; Demographics; Human immunodeficiency virus (HIV); Phylogenetic tree; Diversity (politics); Population; Biology; Genetic diversity; Virology; Medicine; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006485278,0.00009227882,0.0001373431,0.000704267,0.0003871529,0.000566034,0.0002164409,0.0002365378,0.0005420948],"category_scores_gemma":[0.002038145,0.0001552575,0.0001320721,0.0006945467,0.0005144226,0.0005108872,0.0005901305,0.000322478,0.0001008697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009581421,"about_ca_system_score_gemma":0.0007625257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08341604,"about_ca_topic_score_gemma":0.1386591,"domain_scores_codex":[0.9996129,0.0001510486,0.00004396386,0.00006228712,0.00007043605,0.00005945372],"domain_scores_gemma":[0.9990247,0.0001368044,0.0004400456,0.00004150455,0.0002185536,0.0001383618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004372548,0.00001139395,0.9888768,0.00003563502,0.00002269132,0.0001531976,0.001925767,0.0001142724,0.002216677,0.00004079396,0.0001688618,0.006390317],"study_design_scores_gemma":[6.145289e-7,0.00001656233,0.9988355,0.000007883918,0.000002754311,0.0001195497,0.0007115802,0.00008402811,0.00004413648,0.0000157851,0.0001596302,0.000001948415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993021,0.0001231324,0.00006982096,0.00009144854,0.000002454266,0.000006714497,0.0000852056,0.000001202837,0.000317836],"genre_scores_gemma":[0.9993002,0.0001749046,0.0001514947,0.00005843481,0.000004861668,0.000008001818,0.0001103602,0.000001180396,0.0001905292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08341604,"threshold_uncertainty_score":0.165861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611114825007305,"score_gpt":0.334959297687949,"score_spread":0.1738478151872186,"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."}}