{"id":"W2921556780","doi":"10.1097/qai.0000000000001989","title":"Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response","year":2019,"lang":"en","type":"article","venue":"JAIDS Journal of Acquired Immune Deficiency Syndromes","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"National Cancer Institute; National Institutes of Health; Università degli Studi di Brescia; University of Cape Town; Leidos; Frederick National Laboratory for Cancer Research; Johns Hopkins University; U.S. Department of Defense","keywords":"Human immunodeficiency virus (HIV); Medicine; Virology; Viral load; Antiretroviral therapy; 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":[0.02137026,0.002067049,0.00194236,0.006315364,0.0008509799,0.002825082,0.001608635,0.001961882,0.001737439],"category_scores_gemma":[0.06590852,0.0009011358,0.002166937,0.002751645,0.0007007108,0.003183183,0.001786803,0.002287512,0.0004397813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369331,"about_ca_system_score_gemma":0.001631102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009520741,"about_ca_topic_score_gemma":0.008290685,"domain_scores_codex":[0.9922912,0.005175465,0.0004550664,0.001119005,0.0007098289,0.0002494933],"domain_scores_gemma":[0.9399636,0.04961564,0.00527872,0.001889977,0.00226781,0.0009842735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001437619,0.0009489196,0.4289254,0.0005411728,0.001877741,0.0004795419,0.0008081326,0.3597152,0.001697918,0.002424736,0.006299079,0.1948445],"study_design_scores_gemma":[0.0001043287,0.000590538,0.0299455,0.0001763301,0.000219945,0.0003614385,0.000269574,0.960657,0.0007894446,0.005638453,0.001127353,0.0001200926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4455901,0.002659684,0.5349095,0.003047694,0.0001586107,0.0006943119,0.003750484,0.00653667,0.002652818],"genre_scores_gemma":[0.7853017,0.0002994637,0.2112386,0.0003297261,0.00006753183,0.0003566997,0.001854412,0.0001899809,0.0003618813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02137026,"threshold_uncertainty_score":0.1130181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687808872057265,"score_gpt":0.2589539864125884,"score_spread":0.2420758976920158,"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."}}