{"id":"W2951983324","doi":"10.1038/s41598-019-45328-3","title":"A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"Rush University","keywords":"Sanger sequencing; HIV drug resistance; Genotyping; Drug resistance; Human immunodeficiency virus (HIV); Computational biology; Viral load; DNA sequencing; Medicine; Biology; Virology; Antiretroviral therapy; Microbiology; Genetics; Genotype; DNA; Gene","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":[0.002482828,0.0009530481,0.0008529668,0.001017609,0.0007557527,0.0009866036,0.001273263,0.0007339686,0.006925203],"category_scores_gemma":[0.00206282,0.0007444357,0.0008144885,0.0008135422,0.0004086416,0.001058888,0.001715936,0.001094018,0.00515838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536669,"about_ca_system_score_gemma":0.001074725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589901,"about_ca_topic_score_gemma":0.00228796,"domain_scores_codex":[0.9980773,0.0004396278,0.0001202788,0.0005657938,0.0006638069,0.0001331927],"domain_scores_gemma":[0.9987656,0.0003474147,0.000194226,0.0002303897,0.0003310513,0.0001314648],"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":[0.001795404,0.000265528,0.009708198,0.0009588833,0.000507149,0.0004732492,0.0004656878,0.00686661,0.8093917,0.004707826,0.03471481,0.1301451],"study_design_scores_gemma":[0.0001934774,0.0007463984,0.02822177,0.0001269608,0.0002036597,0.001284725,0.0001821361,0.09035259,0.7036219,0.003189114,0.1714773,0.0003999765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1857006,0.002457238,0.6973504,0.0009607272,0.0006697861,0.001984222,0.05007463,0.04322248,0.01757985],"genre_scores_gemma":[0.1342128,0.000787897,0.8114423,0.0009023704,0.0001820959,0.002143967,0.0374357,0.002050596,0.01084237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006925203,"threshold_uncertainty_score":0.02316707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009423573163279873,"score_gpt":0.2393300175583436,"score_spread":0.2299064443950637,"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."}}