{"id":"W2485311156","doi":"10.1097/qad.0000000000001205","title":"Antiretroviral therapy suppressed participants with low CD4+ T-cell counts segregate according to opposite immunological phenotypes","year":2016,"lang":"en","type":"article","venue":"AIDS","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université du Québec à Montréal","funders":"European Regional Development Fund; Instituto de Salud Carlos III; Generalitat de Catalunya; Agència de Gestió d'Ajuts Universitaris i de Recerca; Styrelsen för Internationellt Utvecklingssamarbete; amfAR, The Foundation for AIDS Research","keywords":"T cell; Immunology; HLA-DR; Cutoff; Antiretroviral therapy; Medicine; Antigen; Internal medicine; Biology; Human immunodeficiency virus (HIV); Immune system; Viral load","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":[0.001247867,0.0002974893,0.000313585,0.0007264114,0.0003555473,0.0006476195,0.0003347637,0.000411163,0.0008203674],"category_scores_gemma":[0.003304917,0.0001167286,0.0003145753,0.0003058655,0.0003404128,0.0002538626,0.0004438396,0.0003268038,0.0002735078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497042,"about_ca_system_score_gemma":0.0001584619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006626311,"about_ca_topic_score_gemma":0.0007508608,"domain_scores_codex":[0.9992681,0.0002238159,0.00007518122,0.0002321782,0.0001079974,0.0000927236],"domain_scores_gemma":[0.9982157,0.0006434845,0.0005105546,0.000257205,0.0002324079,0.0001407924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044821,0.00006861114,0.9826022,0.00002490551,0.00006948574,0.0000939632,0.0003254742,0.000213746,0.007770977,0.00009307446,0.00009800985,0.007594546],"study_design_scores_gemma":[0.00003379963,0.0004721931,0.98948,0.00002892078,0.00008427555,0.001147416,0.0006433595,0.003689987,0.003467616,0.0004588719,0.0004776093,0.00001586692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991836,0.00007590694,0.0004574759,0.000007977973,0.00000368223,0.00001502309,0.00006444117,0.000008386582,0.0001834659],"genre_scores_gemma":[0.9993452,0.00001372371,0.0004212975,0.00001289406,0.000003383489,0.000008265033,0.0001437685,0.000003418045,0.00004800015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247867,"threshold_uncertainty_score":0.006599426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212533903957536,"score_gpt":0.2640210904804043,"score_spread":0.2427677000846507,"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."}}