{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660451,0.0002090392,0.0003232934,0.00004316579,0.0001909283,0.0001009852,0.00007783041,0.00004727346,0.00005229251],"category_scores_gemma":[0.0003786669,0.0001786054,0.00009347781,0.0001971531,0.00003555549,0.0001691177,0.00002401798,0.0001128461,0.0000234778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434112,"about_ca_system_score_gemma":0.0006346882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000355798,"about_ca_topic_score_gemma":0.0000623439,"domain_scores_codex":[0.9982569,0.00007484114,0.0005571022,0.0004123993,0.0003669188,0.0003318257],"domain_scores_gemma":[0.9989964,0.0001987836,0.0002705943,0.0001790592,0.0001651732,0.0001899411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003663243,0.000419417,0.5301355,0.0009010063,0.0001808492,0.0001494903,0.00258494,0.00007976538,0.428175,0.0003618983,0.004622884,0.03202296],"study_design_scores_gemma":[0.01521577,0.0005160446,0.03500164,0.001789256,0.0007772819,0.000008418698,0.002731076,0.06688604,0.8046481,0.000372886,0.0704471,0.001606389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573594,0.0002125304,0.03098161,0.008983335,0.0001120391,0.001494322,0.000034343,0.0003350166,0.0004873945],"genre_scores_gemma":[0.8143795,0.00000338614,0.1813346,0.001925188,0.0003878984,0.0002541906,0.000188564,0.00003414746,0.001492616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4951338,"threshold_uncertainty_score":0.7283319,"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."}}