{"id":"W4399891293","doi":"10.1099/acmi.0.000815.v2","title":"HIV-DRIVES: HIV Drug Resistance Identification, Variant Evaluation, & Surveillance Pipeline","year":2024,"lang":"en","type":"preprint","venue":"","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"European and Developing Countries Clinical Trials Partnership; Foundation for the National Institutes of Health","keywords":"Human immunodeficiency virus (HIV); HIV drug resistance; Identification (biology); Pipeline (software); Drug; Drug resistance; Virology; Medicine; Computer science; Pharmacology; Biology; Viral load; Genetics; Antiretroviral therapy","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":[0.003169685,0.001493091,0.0009255388,0.001192741,0.0009021987,0.002076529,0.001257227,0.0006164487,0.01160804],"category_scores_gemma":[0.004436477,0.0007750228,0.001160159,0.0008496605,0.000483389,0.001199338,0.002209722,0.002157771,0.01608873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008887724,"about_ca_system_score_gemma":0.003460153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399597,"about_ca_topic_score_gemma":0.005296478,"domain_scores_codex":[0.9987988,0.0001898629,0.00008540937,0.0004225962,0.0003976061,0.0001057067],"domain_scores_gemma":[0.9984491,0.0004755998,0.0001601351,0.0003274925,0.0003857895,0.0002019856],"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":[0.001631385,0.0003371946,0.02194663,0.00230058,0.0005988841,0.0009821769,0.001277232,0.01578349,0.1003768,0.01003999,0.560262,0.2844637],"study_design_scores_gemma":[0.0005045419,0.0005015488,0.03048006,0.0003136905,0.0002962718,0.001696611,0.000412745,0.1271777,0.1377323,0.02624872,0.6742635,0.0003723698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02698136,0.001490444,0.3877925,0.002857881,0.0005113232,0.001463083,0.2679888,0.294064,0.01685059],"genre_scores_gemma":[0.07738212,0.001344846,0.5329558,0.002951871,0.0002378638,0.001883708,0.3527374,0.02011593,0.01039043],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01160804,"threshold_uncertainty_score":0.03883272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436993542160956,"score_gpt":0.3083733515808489,"score_spread":0.2840034161592394,"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."}}