{"id":"W2897956631","doi":"10.1002/jia2.25193","title":"Bioinformatic data processing pipelines in support of next‐generation sequencing‐based <scp>HIV</scp> drug resistance testing: the Winnipeg Consensus","year":2018,"lang":"en","type":"article","venue":"Journal of the International AIDS Society","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; AIDS Vancouver; University of Manitoba; Public Health Agency of Canada","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"HIV drug resistance; Medicine; Human immunodeficiency virus (HIV); Data mining; Metagenomics; Computational biology; Computer science; Data science; Viral load; Virology; Antiretroviral therapy; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0659631,0.001865955,0.001279061,0.003801994,0.00229165,0.007057978,0.009465144,0.00332146,0.001974881],"category_scores_gemma":[0.04128329,0.001953683,0.0018492,0.002781963,0.00271259,0.00566218,0.008824783,0.006395868,0.001513501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0137386,"about_ca_system_score_gemma":0.0750028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.197208,"about_ca_topic_score_gemma":0.1850452,"domain_scores_codex":[0.9795561,0.004336886,0.002385567,0.003177594,0.008436251,0.002107655],"domain_scores_gemma":[0.9319231,0.006101747,0.002427256,0.003502819,0.04804064,0.008004351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006186942,0.0001452112,0.006943626,0.004068898,0.0003093763,0.0008833767,0.004087508,0.008770964,0.03058651,0.04618688,0.1875592,0.7098396],"study_design_scores_gemma":[0.00009355061,0.0001400079,0.005179733,0.002102466,0.0001876104,0.0003483898,0.0008385511,0.007745181,0.01114217,0.01167801,0.960382,0.0001623922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03159454,0.1383578,0.5638412,0.2149365,0.01682458,0.003255575,0.002545609,0.006560006,0.02208417],"genre_scores_gemma":[0.07050981,0.06620716,0.8056351,0.02533002,0.002412603,0.001150008,0.008503065,0.002728971,0.01752323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.197208,"threshold_uncertainty_score":0.3921202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147065711055788,"score_gpt":0.3105198346677334,"score_spread":0.1958132635621546,"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."}}