{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722345,0.001389054,0.0008595822,0.001240336,0.0009769938,0.001984375,0.001214663,0.0005792511,0.007344728],"category_scores_gemma":[0.004834106,0.0007611237,0.001035008,0.00087708,0.00046651,0.001169931,0.002156841,0.001898361,0.009040847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008872189,"about_ca_system_score_gemma":0.003452034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145638,"about_ca_topic_score_gemma":0.005858475,"domain_scores_codex":[0.9987018,0.0002383523,0.0001039373,0.000435375,0.0004071191,0.0001133646],"domain_scores_gemma":[0.9983039,0.0005280379,0.0001956102,0.0002723538,0.0004737126,0.0002262661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002533911,0.0005226244,0.03959166,0.003131702,0.0008213124,0.001314924,0.00183755,0.01929797,0.1581301,0.01063489,0.4144992,0.3476841],"study_design_scores_gemma":[0.0005325613,0.0009064419,0.04831398,0.0005159188,0.0003801633,0.002159302,0.0006125495,0.1341137,0.1608348,0.02305658,0.6281223,0.0004516523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05235606,0.002182046,0.4468101,0.003038113,0.000542861,0.002229954,0.254101,0.2216065,0.01713347],"genre_scores_gemma":[0.09903082,0.001663668,0.5729361,0.002944986,0.0002137038,0.001929771,0.3011157,0.01289446,0.007270809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007344728,"threshold_uncertainty_score":0.02457052,"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."}}