{"id":"W3025465733","doi":"10.3390/v12050550","title":"External Quality Assessment for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Unique Requirements and Challenges","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Sanger sequencing; Genotyping; HIV drug resistance; External quality assessment; Standardization; Medicine; Computational biology; DNA sequencing; Human immunodeficiency virus (HIV); Medical physics; Computer science; Biology; Viral load; Virology; Antiretroviral therapy; Genetics; Pathology; DNA; Genotype","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":[0.1495279,0.001237333,0.002086827,0.003763189,0.001778824,0.009372647,0.003901944,0.002897474,0.002333854],"category_scores_gemma":[0.1281094,0.000743276,0.001089637,0.00256166,0.004691378,0.004721965,0.005596667,0.004487241,0.001561993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925579,"about_ca_system_score_gemma":0.007537012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004300519,"about_ca_topic_score_gemma":0.004514884,"domain_scores_codex":[0.9105898,0.03543827,0.00895657,0.005010797,0.03866335,0.001341271],"domain_scores_gemma":[0.8220035,0.07859553,0.01507058,0.01287344,0.06883001,0.002626867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004399137,0.0004076735,0.06395333,0.005522463,0.0003810281,0.0009370796,0.003579636,0.006364571,0.0631917,0.03514602,0.02585022,0.7942263],"study_design_scores_gemma":[0.0001309942,0.001751835,0.05821552,0.009787431,0.0006106897,0.00795911,0.00579488,0.05923325,0.1555222,0.09634329,0.603937,0.0007137971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07086183,0.06485414,0.7775676,0.05252986,0.003207316,0.003027979,0.001832397,0.003138692,0.0229803],"genre_scores_gemma":[0.2065869,0.0250761,0.7406532,0.01469725,0.001526663,0.00187436,0.003463998,0.001174564,0.004947005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1495279,"threshold_uncertainty_score":0.7907884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4473143434548348,"score_gpt":0.3821493620733981,"score_spread":0.06516498138143673,"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."}}