{"id":"W2463778710","doi":"10.1093/jac/dkw217","title":"An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype","year":2016,"lang":"en","type":"article","venue":"Journal of Antimicrobial Chemotherapy","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute on Drug Abuse; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Genotype; Genotyping; Receiver operating characteristic; Statistics; Human immunodeficiency virus (HIV); Set (abstract data type); Medicine; Biology; Computer science; Immunology; Mathematics; Genetics","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":[0.006671206,0.001536282,0.001484457,0.0006734511,0.0005361205,0.001538432,0.003139439,0.001198744,0.003697842],"category_scores_gemma":[0.01364349,0.0009343032,0.001641992,0.0006920359,0.000404104,0.001844172,0.001379173,0.002616202,0.001189488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028415,"about_ca_system_score_gemma":0.002659492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02793359,"about_ca_topic_score_gemma":0.02530649,"domain_scores_codex":[0.998619,0.0007290756,0.00008371126,0.000164867,0.0003323505,0.00007102126],"domain_scores_gemma":[0.9947557,0.003278489,0.0002440921,0.0004695725,0.0009745134,0.0002776722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005944445,0.0003662549,0.01537816,0.0006425917,0.001195064,0.0002118828,0.0002276227,0.7134291,0.001474399,0.008793707,0.07195963,0.1857271],"study_design_scores_gemma":[0.00009093215,0.00009501984,0.000613026,0.00006989225,0.00007619027,0.00005120087,0.00001874895,0.9871243,0.0005216391,0.002753469,0.008549922,0.00003564294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1510095,0.01127192,0.7345147,0.01327358,0.002338459,0.001289113,0.01965585,0.04808032,0.01856654],"genre_scores_gemma":[0.3590923,0.007054471,0.593258,0.002789955,0.0007388113,0.001372376,0.02414014,0.003954106,0.007599838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02793359,"threshold_uncertainty_score":0.05554199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934014813649024,"score_gpt":0.296032181093388,"score_spread":0.2666920329568978,"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."}}