{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001696197,0.0001296867,0.0002092084,0.00005119587,0.0001009242,0.0000202448,0.00004190292,0.00003388474,0.00001614958],"category_scores_gemma":[0.00002416694,0.0001127082,0.00002514207,0.0001089072,0.00002879463,0.0001140801,0.00001477711,0.00004209613,0.000008063428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130983,"about_ca_system_score_gemma":0.0003466477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001859965,"about_ca_topic_score_gemma":0.00002282319,"domain_scores_codex":[0.9991357,0.000017828,0.0002923969,0.0002428874,0.0001862617,0.0001249471],"domain_scores_gemma":[0.9995618,0.00003830136,0.0001064659,0.0001138429,0.0000940281,0.00008554869],"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":[0.0006902642,0.0003174378,0.04498241,0.001983358,0.0002323638,0.000007149311,0.004578559,0.00008341543,0.90666,0.001953673,0.01532461,0.02318674],"study_design_scores_gemma":[0.001999107,0.0000555742,0.003452503,0.0001310029,0.00009287223,9.331523e-7,0.0001820263,0.0348146,0.7525563,0.00000965853,0.2065084,0.0001970575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216313,0.0002984338,0.06946652,0.006729261,0.00004854898,0.001164164,0.0000246558,0.00008437259,0.0005527486],"genre_scores_gemma":[0.8413575,0.00002299929,0.1569672,0.0007373492,0.00006616086,0.0002405107,0.0001616602,0.0000153003,0.000431322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1911838,"threshold_uncertainty_score":0.4596107,"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."}}