{"id":"W7004914454","doi":"","title":"Optimization of anti-HIV RNAs for use in combination therapy to achieve a functional HIV cure","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Consejo Nacional de Ciencia y Tecnología; McGill University","keywords":"Combination therapy; Human immunodeficiency virus (HIV); Antiretroviral therapy; Augment; Lentivirus","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":[0.0003914818,0.0004325861,0.0005114312,0.0003467174,0.0002383207,0.0007878194,0.0002893142,0.0003219751,0.007060449],"category_scores_gemma":[0.000258917,0.0002906409,0.000400694,0.0003359122,0.0001812566,0.0003593361,0.0002723514,0.0007721327,0.001953264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399031,"about_ca_system_score_gemma":0.0003374207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005745725,"about_ca_topic_score_gemma":0.001705648,"domain_scores_codex":[0.9997463,0.00004290895,0.00001203102,0.00004942503,0.00009800156,0.00005134545],"domain_scores_gemma":[0.9999126,0.00002634427,0.0000224826,0.00000679543,0.00001796475,0.00001374555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004396722,0.000212036,0.0002982472,0.0001166766,0.00001580007,0.00005723468,0.00004299392,0.002870564,0.9393218,0.0007667529,0.0006675828,0.05519068],"study_design_scores_gemma":[0.0001038492,0.001993231,0.001757093,0.00002285746,0.00006190765,0.0002358354,0.00004497457,0.004511238,0.9720932,0.00023662,0.01891497,0.00002437897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614908,0.02069782,0.05875121,0.0006904494,0.0002497136,0.0008934789,0.001012331,0.0008247615,0.0553894],"genre_scores_gemma":[0.9003611,0.01009553,0.05681136,0.0002146467,0.00006854192,0.0004938992,0.0007781344,0.0003171187,0.0308596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007060449,"threshold_uncertainty_score":0.02361953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666122895935594,"score_gpt":0.2605921008389772,"score_spread":0.2339308718796213,"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."}}