{"id":"W3197691267","doi":"","title":"Stability of SEIR Epidemic Model with Random Perturbation","year":2011,"lang":"en","type":"article","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Epidemic model; Stability (learning theory); Mathematics; Perturbation (astronomy); Econometrics; Statistical physics; Computer science; Physics; Population; Demography; 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":[0.001507072,0.001158838,0.001883036,0.002022414,0.001060342,0.002221221,0.001761971,0.001986723,0.003199208],"category_scores_gemma":[0.006453561,0.0005047883,0.00164979,0.000734841,0.00202557,0.00237185,0.002400704,0.001480978,0.0004402794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436395,"about_ca_system_score_gemma":0.00131385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976686,"about_ca_topic_score_gemma":0.001578809,"domain_scores_codex":[0.9991129,0.0003759638,0.00003248049,0.0001680905,0.0001456365,0.0001649094],"domain_scores_gemma":[0.9974733,0.001091633,0.000578887,0.0001415115,0.0004670671,0.000247636],"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":[0.0002857264,0.0001050971,0.002850845,0.0002121782,0.0002213524,0.0006997635,0.0004085089,0.411498,0.008657736,0.5648648,0.003773181,0.006422771],"study_design_scores_gemma":[0.00002324297,0.00004154163,0.0003798694,0.00001074563,0.00002257692,0.00008066821,0.00008274613,0.9458112,0.0002991411,0.05282056,0.0004060241,0.00002173035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.413763,0.002504239,0.5323218,0.005250348,0.0004421563,0.000182914,0.0006371947,0.0005509693,0.04434748],"genre_scores_gemma":[0.9734471,0.0007275878,0.006237129,0.0001938561,0.0001162795,0.0001021364,0.0001593659,0.00005659803,0.01895993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005976686,"threshold_uncertainty_score":0.0118838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4780684880899557,"score_gpt":0.3981568932838551,"score_spread":0.07991159480610055,"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."}}