{"id":"W2110215558","doi":"10.1097/qad.0b013e3282f5ff71","title":"Comparison of algorithms that interpret genotypic HIV-1 drug resistance to determine the prevalence of transmitted drug resistance","year":2008,"lang":"en","type":"article","venue":"AIDS","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Institute of Allergy and Infectious Diseases; National Center for Research Resources; National Institute of Mental Health; University of California, San Diego; Center for AIDS Research, University of Washington; U.S. Public Health Service; National Institutes of Health; International AIDS Society; U.S. Department of Veterans Affairs","keywords":"Drug resistance; Medicine; Population; HIV drug resistance; Cohort; Genotype; Virology; Cohort study; Resistance mutation; Human immunodeficiency virus (HIV); Internal medicine; Reverse transcriptase; Biology; Genetics; Viral load; Antiretroviral therapy; Polymerase chain reaction; Gene; Environmental health","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":[0.04006189,0.001253479,0.0008978572,0.004710574,0.0005496424,0.002157217,0.001170538,0.001230291,0.0009299975],"category_scores_gemma":[0.08894498,0.0005016293,0.001237078,0.001685445,0.0006077946,0.001333171,0.001549021,0.0008603242,0.0003213756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161875,"about_ca_system_score_gemma":0.001502295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022261,"about_ca_topic_score_gemma":0.003471278,"domain_scores_codex":[0.9745701,0.0157975,0.002466464,0.002390547,0.004211178,0.0005641884],"domain_scores_gemma":[0.9069634,0.06769779,0.006430897,0.003037283,0.01504165,0.0008289292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00711844,0.0003789073,0.8112608,0.000632135,0.003066474,0.00006416302,0.001301839,0.01366503,0.001953322,0.0008427522,0.002327164,0.157389],"study_design_scores_gemma":[0.001518088,0.003851907,0.694027,0.0006483655,0.002003848,0.0008690726,0.001717171,0.2792071,0.008092887,0.003926019,0.003868471,0.0002699975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949794,0.002131113,0.04162933,0.000242766,0.0001876491,0.0006424552,0.001021486,0.0006252602,0.003726039],"genre_scores_gemma":[0.9209291,0.0004909651,0.07576589,0.0001300014,0.00004763354,0.000494646,0.001531915,0.0001308361,0.0004789754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04006189,"threshold_uncertainty_score":0.2118701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660204158813506,"score_gpt":0.2869379918012152,"score_spread":0.2603359502130801,"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."}}