{"id":"W3035229792","doi":"10.3390/v12060627","title":"Development and Application of Performance Assessment Criteria for Next-Generation Sequencing-Based HIV Drug Resistance Assays","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"HIV drug resistance; Sanger sequencing; Quality assurance; Medicine; Standardization; External quality assessment; Clinical microbiology; Drug resistance; Human immunodeficiency virus (HIV); Medical physics; Computational biology; Computer science; Data mining; DNA sequencing; Viral load; Virology; Biology; Antiretroviral therapy; Microbiology; Pathology; DNA","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":[0.05020944,0.001957814,0.001415086,0.006593875,0.001319671,0.004048137,0.002728716,0.001813618,0.001021989],"category_scores_gemma":[0.09361191,0.0005135234,0.001177968,0.002754756,0.001471239,0.002336845,0.003349575,0.001574714,0.0007901445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003124207,"about_ca_system_score_gemma":0.003919745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004800369,"about_ca_topic_score_gemma":0.003967454,"domain_scores_codex":[0.9458511,0.01723384,0.005250192,0.003694777,0.02645214,0.001517968],"domain_scores_gemma":[0.9305709,0.02650547,0.007068787,0.004418316,0.03013879,0.001297817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001459671,0.001644606,0.1445864,0.001866107,0.0006732709,0.000626875,0.00195685,0.169894,0.2411739,0.02256976,0.01165062,0.401898],"study_design_scores_gemma":[0.00009686776,0.002719634,0.04856402,0.0003561128,0.0002622861,0.0007183186,0.000798964,0.6044392,0.3066591,0.01177553,0.02318447,0.0004254839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1688585,0.001681133,0.8138907,0.0007388058,0.0001768564,0.001965858,0.001742569,0.002695267,0.008250318],"genre_scores_gemma":[0.4387502,0.0004052619,0.5536898,0.0003324533,0.0000661542,0.001736308,0.003234784,0.0003350419,0.001450009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05020944,"threshold_uncertainty_score":0.2655361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022209583328428,"score_gpt":0.3205096652558905,"score_spread":0.2182887069230477,"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."}}