{"id":"W2989908416","doi":"10.3934/dcdsb.2019236","title":"Traveling waves for a nonlocal dispersal vaccination model with general incidence","year":2019,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - B","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Biological dispersal; Incidence (geometry); Traveling wave; Epidemic model; Demography; Geography; Physics; Mathematics; Sociology; Mathematical analysis; Optics; Population","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":[0.0005558515,0.0005378884,0.0006418946,0.0006352751,0.0004681649,0.0009219487,0.0008387088,0.001357312,0.001945111],"category_scores_gemma":[0.00136654,0.000222813,0.0009592491,0.0003736262,0.000968075,0.001420161,0.0008413398,0.0008978962,0.0001856752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008382681,"about_ca_system_score_gemma":0.0005490088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003906599,"about_ca_topic_score_gemma":0.001668723,"domain_scores_codex":[0.9998136,0.00004629442,0.00001030644,0.00004079966,0.0000338516,0.00005519051],"domain_scores_gemma":[0.9995323,0.000156743,0.0001723361,0.00002456603,0.00006628699,0.00004782471],"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":[0.0001756654,0.0001231507,0.005044288,0.0002585381,0.0001176557,0.002148683,0.0006638888,0.5523959,0.03058965,0.3958004,0.001639862,0.01104236],"study_design_scores_gemma":[0.0000284081,0.0000609934,0.0006327291,0.00001252611,0.00002900345,0.0001754167,0.0001195978,0.9736463,0.0008140997,0.02397883,0.0004831154,0.00001897813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6156836,0.000868597,0.36911,0.001301012,0.0000870098,0.0000792968,0.0001177868,0.00008199204,0.01267075],"genre_scores_gemma":[0.9855504,0.0004539432,0.006800222,0.00008365708,0.00003879896,0.00006830236,0.00005775315,0.00001173064,0.006935277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003906599,"threshold_uncertainty_score":0.007767737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943773154268449,"score_gpt":0.2606153258045141,"score_spread":0.2511775942618296,"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."}}