{"id":"W3037443794","doi":"10.3390/v12070694","title":"Multi-Laboratory Comparison of Next-Generation to Sanger-Based Sequencing for HIV-1 Drug Resistance Genotyping","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; AIDS Vancouver; University of British Columbia","funders":"National Institute on Minority Health and Health Disparities; National Institute of Allergy and Infectious Diseases; Public Health Agency of Canada; University of North Carolina at Chapel Hill; Public Health England; Brown University","keywords":"Sanger sequencing; Genotyping; Concordance; DNA sequencing; Biology; HIV drug resistance; Genetics; Drug resistance; Computational biology; Human immunodeficiency virus (HIV); Virology; Genotype; Viral load; DNA; Gene; Antiretroviral therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009568243,0.0001292929,0.0002926622,0.00007515145,0.00008107322,0.00001636209,0.00005489841,0.00003635131,0.00002788375],"category_scores_gemma":[0.0001584974,0.0001182676,0.00004813763,0.0002276299,0.00001965694,0.00007777465,0.00001292292,0.00005181411,0.00004860972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013127,"about_ca_system_score_gemma":0.0002528918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006086305,"about_ca_topic_score_gemma":0.0001063258,"domain_scores_codex":[0.999123,0.0000286604,0.0002984844,0.0002339962,0.0001612341,0.000154612],"domain_scores_gemma":[0.9994372,0.00006745835,0.00009439274,0.0001345622,0.0001347704,0.0001316459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000314759,0.0001204573,0.01189308,0.0002390047,0.00007035241,0.000006026472,0.004240455,0.0002296054,0.9400287,0.00004124056,0.04217475,0.0006415396],"study_design_scores_gemma":[0.001845372,0.00005757439,0.0005940177,0.0001722068,0.0001018989,9.913948e-8,0.0005596486,0.009328308,0.9063582,0.000001213896,0.08081695,0.0001645359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609123,0.001837233,0.0255601,0.01005984,0.000123675,0.001177755,0.0001110884,0.000132629,0.00008536876],"genre_scores_gemma":[0.841484,0.000007091984,0.1547332,0.002852196,0.000160886,0.0000836317,0.00008485273,0.00002762592,0.0005665367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291731,"threshold_uncertainty_score":0.4822814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1911146146181241,"score_gpt":0.3494872228951715,"score_spread":0.1583726082770474,"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."}}