{"id":"W2070552896","doi":"10.7448/ias.15.6.18114","title":"Computational models that predict response to HIV therapy can reduce virological failure and therapy costs in resource‐limited settings","year":2012,"lang":"en","type":"article","venue":"Journal of the International AIDS Society","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"","keywords":"Medicine; Regimen; Viral load; Antiretroviral therapy; Receiver operating characteristic; Pharmacotherapy; Human immunodeficiency virus (HIV); Area under the curve; Internal medicine; Intensive care medicine; Immunology","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":[0.002305102,0.0008316202,0.0007442237,0.000586229,0.0003442884,0.0008733731,0.0006294973,0.0008877267,0.001461504],"category_scores_gemma":[0.01106038,0.0004974619,0.0006417563,0.0003502731,0.0003788756,0.0009198634,0.0005164224,0.0007675651,0.0002451352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931571,"about_ca_system_score_gemma":0.001521001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344832,"about_ca_topic_score_gemma":0.01544304,"domain_scores_codex":[0.9994393,0.0003515205,0.00003025371,0.00006177706,0.00006462471,0.00005259652],"domain_scores_gemma":[0.9942302,0.004972565,0.000330247,0.0001685079,0.000227601,0.0000709774],"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":[0.00003825065,0.00003954303,0.002423889,0.00001316279,0.00003049334,0.00001609632,0.000009926465,0.993241,0.00007175787,0.0003501713,0.0002842825,0.003481569],"study_design_scores_gemma":[0.000007286608,0.00001895772,0.0002880614,0.000005373925,0.000007742017,0.000004647073,0.0000068688,0.9988269,0.00005867718,0.0006884774,0.0000845706,0.000002526948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781894,0.001089944,0.2057494,0.003372894,0.000149981,0.0002513708,0.001040375,0.00120227,0.008954307],"genre_scores_gemma":[0.9593919,0.0003190996,0.0377528,0.0003010774,0.00003824934,0.000184282,0.0006609677,0.00004901678,0.001302701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344832,"threshold_uncertainty_score":0.02674007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473580023568339,"score_gpt":0.2778742070883375,"score_spread":0.2531384068526541,"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."}}