{"id":"W3036720956","doi":"10.3390/v12060666","title":"Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":8,"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":"Bottleneck; Computer science; External quality assessment; Raw data; Human immunodeficiency virus (HIV); Software; Data mining; Computational biology; Medicine; Biology; Embedded system; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03551415,0.002209685,0.001233699,0.003593951,0.001596595,0.006074397,0.003754488,0.003058282,0.03370604],"category_scores_gemma":[0.07101967,0.001735997,0.002085485,0.002074333,0.001356727,0.005134895,0.00835229,0.003034651,0.01977468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161226,"about_ca_system_score_gemma":0.003106937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559697,"about_ca_topic_score_gemma":0.001529746,"domain_scores_codex":[0.9816487,0.005607806,0.002140241,0.002463125,0.007037297,0.001102832],"domain_scores_gemma":[0.9468859,0.01745552,0.005058338,0.01178636,0.01697941,0.001834421],"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":[0.004183057,0.0006930059,0.02681166,0.003239962,0.0006368013,0.002583094,0.002907118,0.02908638,0.1905467,0.04167847,0.2395993,0.4580344],"study_design_scores_gemma":[0.0004476887,0.0006148673,0.01518001,0.001366586,0.0002987057,0.001255135,0.000488431,0.1054698,0.2495255,0.02131506,0.6035009,0.0005373529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0154034,0.0008645011,0.8875214,0.001505757,0.0006721148,0.002089469,0.009173216,0.0666612,0.01610903],"genre_scores_gemma":[0.09140104,0.0009427192,0.8367159,0.002539387,0.0004993576,0.004373022,0.03421032,0.0176639,0.01165446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03551415,"threshold_uncertainty_score":0.1878191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3024744946804234,"score_gpt":0.3832677222496408,"score_spread":0.08079322756921736,"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."}}