{"id":"W4400733587","doi":"10.1099/acmi.0.000815.v3","title":"HIV-DRIVES: HIV drug resistance identification, variant evaluation, and surveillance pipeline","year":2024,"lang":"en","type":"article","venue":"Access Microbiology","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"European and Developing Countries Clinical Trials Partnership; Fogarty International Center; Foundation for the National Institutes of Health","keywords":"Human immunodeficiency virus (HIV); Pipeline (software); Identification (biology); Drug; HIV drug resistance; Drug resistance; Virology; Medicine; Computer science; Biology; Pharmacology; Genetics; Viral load; Antiretroviral therapy; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006585771,0.0001872425,0.0002884962,0.0001716702,0.000104332,0.0000969233,0.0001486448,0.00008347016,0.0004198602],"category_scores_gemma":[0.000120161,0.0001489794,0.0000463222,0.0003041632,0.0001293381,0.0001489276,0.00008342562,0.000121185,0.0003492663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098077,"about_ca_system_score_gemma":0.0002256391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005090815,"about_ca_topic_score_gemma":0.0001150248,"domain_scores_codex":[0.9985558,0.0001373765,0.0004131394,0.0005620158,0.00009211683,0.0002395116],"domain_scores_gemma":[0.9991369,0.0001578936,0.00007873979,0.000306559,0.000248341,0.00007158272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001417268,0.0001653622,0.06302051,0.0003574797,0.000402853,0.0001693809,0.001621389,0.000004394706,0.03315291,0.001745278,0.895696,0.003522712],"study_design_scores_gemma":[0.002661876,0.00001387881,0.03613704,0.0003496586,0.0003272788,0.0004123043,0.000155483,0.0009056362,0.01205119,0.001491813,0.9450079,0.0004859648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7217256,0.04851716,0.01034375,0.2061521,0.002138828,0.003145911,0.0004603215,0.0006903328,0.006825993],"genre_scores_gemma":[0.8589498,0.0005818976,0.0009209939,0.0003150437,0.0001519531,0.0001043391,0.001527643,0.00002761774,0.1374207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.205837,"threshold_uncertainty_score":0.6075202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523815622143162,"score_gpt":0.3081279297745085,"score_spread":0.2928897735530769,"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."}}