{"id":"W3090491633","doi":"10.1016/j.apm.2020.08.084","title":"A time-delayed SVEIR model for imperfect vaccine with a generalized nonmonotone incidence and application to measles","year":2020,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monotonic function; Measles; Imperfect; Epidemic model; Population; Mathematics; Basic reproduction number; Stability (learning theory); Applied mathematics; Mathematical optimization; Computer science; Vaccination; Medicine; Virology; Environmental health; Mathematical analysis","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":[0.004732682,0.002072671,0.005121202,0.002180391,0.001053734,0.003895468,0.005941824,0.007011374,0.00859091],"category_scores_gemma":[0.01054523,0.001769393,0.002756654,0.001882149,0.003198791,0.003978648,0.002666499,0.003415391,0.0009648196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862644,"about_ca_system_score_gemma":0.002645992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.034393,"about_ca_topic_score_gemma":0.01609016,"domain_scores_codex":[0.9981141,0.0006516787,0.0001021339,0.0004074832,0.0001872756,0.0005374025],"domain_scores_gemma":[0.9931155,0.003927272,0.001461937,0.0002367953,0.0008083524,0.000450071],"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":[0.0001765994,0.00009773694,0.001251214,0.0001983469,0.0001561801,0.0006599859,0.0002193537,0.846415,0.00130985,0.1448557,0.00169887,0.002961172],"study_design_scores_gemma":[0.00005228224,0.00006993182,0.0004009588,0.00001542987,0.00006676716,0.000114655,0.00006991101,0.9804559,0.0001108301,0.0180242,0.0005760482,0.00004318382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3366347,0.003985252,0.607436,0.009713132,0.0007839524,0.0003213458,0.003043113,0.0009086265,0.03717382],"genre_scores_gemma":[0.9222555,0.001541313,0.01242099,0.0003956459,0.0002573029,0.0001863014,0.0005783682,0.00013517,0.06222947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.034393,"threshold_uncertainty_score":0.06838566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728426338652462,"score_gpt":0.2738906983497547,"score_spread":0.2466064349632301,"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."}}