{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003077218,0.0001339872,0.0002029231,0.0001445992,0.0001695612,0.000012009,0.0002955255,0.0001252116,0.0003772817],"category_scores_gemma":[0.000271506,0.00009543521,0.00004738574,0.0004390981,0.00009615254,0.00005685822,0.0001676829,0.0003975492,0.001622329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709005,"about_ca_system_score_gemma":0.00007099436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007214765,"about_ca_topic_score_gemma":0.009054231,"domain_scores_codex":[0.9986619,0.0004880824,0.0001459865,0.0002558592,0.00004737295,0.0004008485],"domain_scores_gemma":[0.999464,0.0002637926,0.00005288553,0.0001586154,0.00001143524,0.00004930877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002745184,0.00006401999,0.9688253,0.00001154747,0.0000576797,0.00007119458,0.004125122,0.0000013748,0.01692501,0.00005681734,0.008994095,0.0005932801],"study_design_scores_gemma":[0.004310251,0.0004023334,0.9314464,0.00007585983,0.00006172269,0.0000179758,0.002760726,0.000003453402,0.01535771,0.0001705443,0.04508117,0.000311853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951679,0.001218385,0.00000704179,0.003034341,0.00003894408,0.000243277,0.0001035889,0.00003854386,0.0001479477],"genre_scores_gemma":[0.9983588,0.0001109827,0.00003625211,0.001111792,0.00003641386,0.000009310227,0.00009276588,0.00000675018,0.0002369551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03737893,"threshold_uncertainty_score":0.9993963,"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."}}