{"id":"W4400000663","doi":"10.1134/s2070048224700169","title":"Modelling Typhoid Fever Transmission with Treatment Relapse Response: Optimal Control and Cost-Effectiveness Analysis","year":2024,"lang":"en","type":"article","venue":"Mathematical Models and Computer Simulations","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Typhoid fever; Transmission (telecommunications); Medicine; Optimal control; Computer science; Intensive care medicine; Oncology; Virology; Mathematical optimization; Mathematics; Telecommunications","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":[0.002569785,0.001204432,0.00152133,0.001218877,0.0003798534,0.001532604,0.001224725,0.002277219,0.003377439],"category_scores_gemma":[0.007030799,0.0007204428,0.001564865,0.0007167267,0.0007329188,0.0008620187,0.0008734455,0.001367223,0.0001294526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522358,"about_ca_system_score_gemma":0.001881687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678664,"about_ca_topic_score_gemma":0.004494143,"domain_scores_codex":[0.9988537,0.0007189903,0.0000321974,0.0001121421,0.0001124919,0.0001704728],"domain_scores_gemma":[0.9964409,0.002947592,0.0002451163,0.00005268108,0.0002439294,0.00006958872],"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":[0.00003159769,0.00002560077,0.0002235897,0.00003330339,0.00001958171,0.00002581834,0.000005522758,0.9975247,0.00008816658,0.001137952,0.00005772876,0.0008264845],"study_design_scores_gemma":[0.00000814031,0.00004117386,0.0001069742,0.000006644465,0.0000207609,0.000005600689,0.00001073385,0.9990544,0.00005135789,0.0006357449,0.00005516517,0.000003355854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5681431,0.004135453,0.4029047,0.002736427,0.0001893445,0.0006643813,0.0009047881,0.0002167097,0.0201052],"genre_scores_gemma":[0.9895523,0.0004011919,0.007989528,0.00006006804,0.00001810895,0.0001846459,0.00007972231,0.000009570834,0.001704795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01678664,"threshold_uncertainty_score":0.03337783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05277609498964531,"score_gpt":0.3399157052082625,"score_spread":0.2871396102186172,"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."}}