{"id":"W2885255913","doi":"10.1016/j.jde.2018.07.054","title":"Complex dynamics of epidemic models on adaptive networks","year":2018,"lang":"en","type":"article","venue":"Journal of Differential Equations","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Toledo","keywords":"Mathematics; Dynamics (music); Epidemic model; Statistical physics; Applied mathematics; Mathematical economics; Demography; Population; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001663674,0.000774994,0.001256744,0.001507289,0.0007221971,0.00288559,0.00159102,0.002383767,0.004763923],"category_scores_gemma":[0.01029927,0.0005677901,0.0008353314,0.0009715891,0.002255128,0.004301863,0.002115656,0.001774082,0.0003635651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230165,"about_ca_system_score_gemma":0.0007291284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004711271,"about_ca_topic_score_gemma":0.002488967,"domain_scores_codex":[0.9993603,0.0003050792,0.00002915835,0.0001144172,0.0001025331,0.0000884427],"domain_scores_gemma":[0.9944877,0.003651093,0.0008205121,0.0002434134,0.0003854201,0.0004119597],"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":[0.00003786732,0.00004433138,0.00174447,0.00006504549,0.00007592935,0.0001926391,0.0002632469,0.353954,0.0006679544,0.6369793,0.00191594,0.00405936],"study_design_scores_gemma":[0.000018011,0.00001472841,0.000405529,0.00001238993,0.00001582555,0.00005825567,0.00005733959,0.7854508,0.00004640142,0.2131924,0.0007151107,0.00001320983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3622029,0.00235633,0.6029248,0.008087498,0.0003389565,0.0001161693,0.0005450023,0.0002020434,0.02322629],"genre_scores_gemma":[0.9772332,0.001495666,0.009527906,0.0002688174,0.000190484,0.0001031776,0.0001410319,0.00004338762,0.0109962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004763923,"threshold_uncertainty_score":0.01593691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09462873346968,"score_gpt":0.3339106092915903,"score_spread":0.2392818758219104,"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."}}