{"id":"W4411048916","doi":"10.1016/j.aml.2025.109633","title":"Exponentially ultimate boundedness for an impulsive stochastic HIV model with delayed and semi-Markovian switching","year":2025,"lang":"en","type":"article","venue":"Applied Mathematics Letters","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Exponential growth; Markov process; Applied mathematics; Mathematical analysis; Control theory (sociology); Statistics; Computer science","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":[0.004016009,0.002278567,0.003504111,0.002609157,0.001485789,0.00459433,0.004476709,0.004409822,0.005487093],"category_scores_gemma":[0.01356073,0.00144014,0.002149212,0.001282572,0.004695985,0.003565051,0.005035426,0.003864799,0.0004487198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003726397,"about_ca_system_score_gemma":0.0031978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01759606,"about_ca_topic_score_gemma":0.008325744,"domain_scores_codex":[0.9983898,0.0004006695,0.00008313315,0.0003705553,0.0003361855,0.0004197197],"domain_scores_gemma":[0.9850683,0.009180846,0.002584362,0.0003580732,0.00178203,0.001026399],"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":[0.0002855117,0.0001958532,0.003322437,0.0003805943,0.0003242401,0.001496859,0.0005849656,0.6227905,0.004791046,0.3600269,0.001705142,0.004096057],"study_design_scores_gemma":[0.00002867827,0.00005230929,0.0004571596,0.0000222412,0.0000688084,0.0001188832,0.00008243442,0.9554304,0.0002147515,0.04323132,0.0002507945,0.00004219906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3107236,0.002774293,0.6521427,0.00491855,0.0003379754,0.0001452623,0.0008795349,0.0004877873,0.0275903],"genre_scores_gemma":[0.972746,0.0009009878,0.005094551,0.0003049987,0.0001144261,0.0001331386,0.0002493064,0.00006634303,0.02039037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01759606,"threshold_uncertainty_score":0.03498727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493210511877763,"score_gpt":0.2763898471894558,"score_spread":0.2614577420706782,"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."}}