{"id":"W4386245481","doi":"10.1007/s11071-023-08838-4","title":"Global dynamics of a fractional-order SIS epidemic model with media coverage","year":2023,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Uniqueness; Mathematics; Lyapunov function; Applied mathematics; Extension (predicate logic); Nonlinear system; Stability theory; Basic reproduction number; Transmission (telecommunications); Order (exchange); Epidemic model; Function (biology); Matrix (chemical analysis); Mathematical analysis; Computer science; Physics; Telecommunications; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005494136,0.0001845739,0.0006188555,0.00007395007,0.00006325614,0.000002811177,0.0001081411,0.0003364133,0.0002008452],"category_scores_gemma":[0.001197113,0.0001329287,0.0001222797,0.0004911385,0.0003896795,0.00004889059,0.000067468,0.0003029387,0.00009413272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281284,"about_ca_system_score_gemma":0.000170308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001854949,"about_ca_topic_score_gemma":0.0002871266,"domain_scores_codex":[0.9986301,0.00005544929,0.0004549225,0.0002837081,0.0002165865,0.0003592157],"domain_scores_gemma":[0.998341,0.0008848992,0.0001270673,0.000288884,0.0001806073,0.0001775949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005626258,0.0003381872,0.02579385,0.0002571397,0.0002140738,0.00004630503,0.00004856812,0.07566816,0.000003615607,0.8951658,0.0002404322,0.001661257],"study_design_scores_gemma":[0.0006225467,0.0001160598,0.002258561,0.00005735059,0.0001177968,0.00004931082,0.00003936148,0.8001843,0.000001314079,0.1964344,0.0000156178,0.0001034065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3582818,0.00001647311,0.6256883,0.005031324,0.00008910069,0.0002068459,0.0003282554,0.0001282498,0.01022967],"genre_scores_gemma":[0.9635195,0.0001936761,0.03283149,0.001258636,0.00009175138,0.00002301196,0.001032243,0.00003200027,0.001017677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7245162,"threshold_uncertainty_score":0.5420676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045679718360635,"score_gpt":0.3023070119812512,"score_spread":0.2818502147976448,"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."}}