{"id":"W4416305956","doi":"10.1137/24m1720196","title":"Incorporating Drug Adherence Stochasticity Into Pharmacokinetics and Pharmacodynamics to Understand the HIV Transmission Dynamics Through a MultiScale System","year":2025,"lang":"en","type":"article","venue":"SIAM Journal on Applied Mathematics","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Multiscale modeling; Pharmacodynamics; Human immunodeficiency virus (HIV); Pharmacokinetics; Transmission (telecommunications); Drug; Antiretroviral therapy","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":[0.0008025499,0.0005773704,0.001234964,0.0006593365,0.0005513905,0.0009621429,0.001073799,0.001896298,0.001695495],"category_scores_gemma":[0.002697488,0.0006922441,0.001451428,0.0004200543,0.0011684,0.001853012,0.001222909,0.001614069,0.000184229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123041,"about_ca_system_score_gemma":0.001646328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183832,"about_ca_topic_score_gemma":0.009435714,"domain_scores_codex":[0.9997217,0.00008503789,0.00001712731,0.0000651997,0.00006036932,0.00005050471],"domain_scores_gemma":[0.9989932,0.000574934,0.0001966096,0.00007419859,0.00008056907,0.00008039],"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":[0.00001995021,0.00007999661,0.00260626,0.00004462186,0.0000855194,0.0001473329,0.00008648779,0.9182072,0.004393773,0.07003323,0.0004721139,0.003823536],"study_design_scores_gemma":[0.000002724851,0.000007766333,0.0002491286,0.00000182715,0.000005529975,0.00001333148,0.000005157414,0.995063,0.00005181351,0.004492522,0.0001018868,0.000005282992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2523947,0.001422919,0.7342993,0.003661955,0.0002769232,0.0001048467,0.0002997259,0.0002567126,0.007282827],"genre_scores_gemma":[0.9608439,0.001088966,0.03113273,0.0004676644,0.0002480625,0.0001162102,0.00009279039,0.00007172475,0.005937906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0183832,"threshold_uncertainty_score":0.03655243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347993096135063,"score_gpt":0.2914008175414031,"score_spread":0.2779208865800524,"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."}}