{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160187,0.0001748108,0.0002589058,0.00004487266,0.0001257203,0.00004394081,0.00005371859,0.00004307803,0.00001920639],"category_scores_gemma":[0.0002120735,0.0001496091,0.00003948748,0.00008639268,0.00003758484,0.0001452458,0.00002283664,0.00007315191,0.000006688235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726167,"about_ca_system_score_gemma":0.000333909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377493,"about_ca_topic_score_gemma":0.00009599856,"domain_scores_codex":[0.9987971,0.00008174839,0.0003103397,0.0003632975,0.0002604832,0.0001870126],"domain_scores_gemma":[0.9992741,0.0001697903,0.0001251013,0.0001549936,0.0001169615,0.0001590814],"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":[0.001249864,0.0007497129,0.1123514,0.00300573,0.0004688133,0.0001563738,0.005184903,0.00004892951,0.827583,0.008171664,0.01861555,0.02241411],"study_design_scores_gemma":[0.01955685,0.0008432956,0.04944525,0.002098316,0.0007355216,0.00001177998,0.002007968,0.01637039,0.6708322,0.001498725,0.2349454,0.001654293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699291,0.006899605,0.01769177,0.1000006,0.0001799105,0.002355178,0.00008218543,0.0004000853,0.002461627],"genre_scores_gemma":[0.8731236,0.0003966481,0.1210824,0.003261214,0.0003028167,0.0002104319,0.00007110387,0.00003580186,0.001515946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163298,"threshold_uncertainty_score":0.6100881,"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."}}