{"id":"W1011433106","doi":"10.1016/j.mbs.2015.07.003","title":"Global threshold dynamics of an SIVS model with waning vaccine-induced immunity and nonlinear incidence","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Basic reproduction number; Immunity; Vaccination; Incidence (geometry); Mathematics; Nonlinear system; Biology; Immunology; Demography; Immune system; Physics; Population; Sociology","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":[0.0007692292,0.0007587601,0.00150613,0.001131499,0.0006917383,0.002204841,0.001868602,0.002204912,0.006195606],"category_scores_gemma":[0.003446782,0.0006085362,0.001170787,0.0006420482,0.001869454,0.002586739,0.001829881,0.001338765,0.0004237217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648113,"about_ca_system_score_gemma":0.001325708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348102,"about_ca_topic_score_gemma":0.005828781,"domain_scores_codex":[0.9997407,0.00007095687,0.00001173406,0.00005850429,0.00002832925,0.00008986452],"domain_scores_gemma":[0.998444,0.0007206928,0.0002984905,0.00006322367,0.0001948857,0.000278769],"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":[0.0002023505,0.00009699696,0.004188413,0.0001165016,0.0001079491,0.000490997,0.0002915481,0.788028,0.003486891,0.1974052,0.002530586,0.003054544],"study_design_scores_gemma":[0.00003378275,0.00003182555,0.000746891,0.00001025522,0.0000268502,0.00005947855,0.00007529779,0.9749893,0.00009809694,0.02366922,0.0002405036,0.00001850397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488684,0.0008024206,0.1121046,0.004611451,0.000131475,0.00009090679,0.0008325954,0.0003137979,0.03224431],"genre_scores_gemma":[0.9857611,0.000228876,0.001893813,0.0001341672,0.00003536593,0.00004001016,0.0001273948,0.00004206238,0.01173723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348102,"threshold_uncertainty_score":0.0268051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064269989123377,"score_gpt":0.328645834821455,"score_spread":0.2780031349302213,"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."}}