{"id":"W2127472689","doi":"10.1093/cid/cit105","title":"Use of Cellular HIV DNA to Predict Virologic Response to Maraviroc: Performance of Population-Based and Deep Sequencing","year":2013,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"Canadian Institutes of Health Research","keywords":"Maraviroc; CCR5 receptor antagonist; Tropism; Medicine; Virology; Peripheral blood mononuclear cell; Viral load; Tissue tropism; Population; Lentivirus; Immunology; Human immunodeficiency virus (HIV); Virus; Viral disease; Biology; Inflammation; Chemokine; In vitro","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002278267,0.0005413647,0.0004138902,0.0006364177,0.0001591955,0.0009576306,0.0002821,0.0005632046,0.000698722],"category_scores_gemma":[0.003328153,0.000217182,0.0002468108,0.0001870638,0.000356908,0.000316852,0.0004523926,0.0005206728,0.0002595212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155702,"about_ca_system_score_gemma":0.0002784968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005275672,"about_ca_topic_score_gemma":0.0008390301,"domain_scores_codex":[0.9990089,0.0004114039,0.00006041038,0.0002704825,0.0001834489,0.00006538875],"domain_scores_gemma":[0.9984072,0.0008374209,0.0002566686,0.0001284574,0.0002516858,0.0001185393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002267256,0.0002951242,0.7103838,0.0001997274,0.0004968042,0.0001319227,0.0002974009,0.01194382,0.142513,0.000270868,0.0004733959,0.1307268],"study_design_scores_gemma":[0.0002500555,0.005103325,0.6359843,0.0002092775,0.0006226274,0.001992398,0.000495792,0.1895944,0.158666,0.002726523,0.004236985,0.0001183493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834539,0.001381185,0.01329489,0.0001003595,0.00001756679,0.00006227328,0.0004715271,0.00007902829,0.001139262],"genre_scores_gemma":[0.992404,0.0001631607,0.006815718,0.0001022128,0.000009310675,0.00003591754,0.0002838908,0.000008020296,0.0001775293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002278267,"threshold_uncertainty_score":0.01204878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405218915858734,"score_gpt":0.3007542668461988,"score_spread":0.2667020776876115,"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."}}