{"id":"W3082117970","doi":"10.1016/j.chaos.2020.110237","title":"Backward bifurcation and sensitivity analysis for bacterial meningitis transmission dynamics with a nonlinear recovery rate","year":2020,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Key Laboratory of Highway Construction and Maintenance Technology in the Loess Region of Shanxi Transportation Research Institute; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Nonlinear system; Bifurcation; Dynamics (music); Transmission (telecommunications); Mathematics; Control theory (sociology); Transmission rate; Physics; Computer science; Artificial intelligence; Quantum mechanics","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":[0.002354506,0.0007946801,0.0009659606,0.002149855,0.0006761959,0.001286487,0.0007782591,0.001249894,0.001740329],"category_scores_gemma":[0.008031718,0.0004537141,0.001921836,0.0005279268,0.001118627,0.001189447,0.00155858,0.001257428,0.0001011242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716597,"about_ca_system_score_gemma":0.0007560289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007049448,"about_ca_topic_score_gemma":0.001731289,"domain_scores_codex":[0.9995078,0.0002578225,0.00001783238,0.00005873964,0.00006514274,0.00009263773],"domain_scores_gemma":[0.9946596,0.004373076,0.0003985314,0.000127457,0.0003002211,0.0001411053],"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":[0.0002031174,0.0001115976,0.00287225,0.0001486451,0.0001655322,0.0005416685,0.0001819632,0.9272383,0.01227116,0.05076312,0.0005864887,0.00491612],"study_design_scores_gemma":[0.000004873617,0.00001826869,0.0005160981,0.000005700292,0.00002190111,0.00005458288,0.00002500081,0.9941199,0.000453139,0.004697269,0.00007123683,0.0000120416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7545175,0.001321024,0.2304436,0.001433366,0.00009442672,0.0001906496,0.000275307,0.0002230769,0.01150095],"genre_scores_gemma":[0.9942039,0.0002231731,0.003062832,0.00003787633,0.00001674633,0.00003370628,0.00004452065,0.00001760717,0.002359704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007049448,"threshold_uncertainty_score":0.01401681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529979148887474,"score_gpt":0.2759552658385151,"score_spread":0.2506554743496404,"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."}}