{"id":"W4363679233","doi":"10.1007/s10665-023-10264-9","title":"Final epidemic size and optimal control of socio-economic multi-group influenza model","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Mathematics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Outbreak; Pandemic; Population; Basic reproduction number; Influenza A virus subtype H5N1; Reproduction; Demography; Economic impact analysis; Population size; Biology; Disease; Virus; Medicine; Environmental health; Virology; Coronavirus disease 2019 (COVID-19); Ecology; Economics; Infectious disease (medical specialty); Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499883,0.0001370516,0.0008279467,0.0001032554,0.00002423478,0.000003299298,0.00008439889,0.0001686264,0.00004521755],"category_scores_gemma":[0.002373556,0.0001009006,0.0001737984,0.00005085338,0.0001340946,0.00005844968,0.00003287937,0.0003135494,0.00001354682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708698,"about_ca_system_score_gemma":0.00003951384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.374018e-7,"about_ca_topic_score_gemma":5.327689e-8,"domain_scores_codex":[0.9987014,0.00002104461,0.0008794616,0.00008635541,0.00008787664,0.0002238515],"domain_scores_gemma":[0.9973382,0.002048132,0.0002897125,0.0001163876,0.00005575224,0.0001518244],"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":[0.0002815195,0.0003976836,0.001713352,0.002358615,0.0007369492,0.00006525294,0.001077368,0.5036528,0.008766977,0.4804339,0.0003240894,0.0001915521],"study_design_scores_gemma":[0.001704574,0.0002045835,0.0008186592,0.0002347641,0.0001857648,0.0001993752,0.00005625447,0.9652897,0.00007165068,0.0311384,0.00001398776,0.00008229266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5847107,0.000114455,0.4145753,0.0003578274,0.00005384233,0.00008756496,0.000004612268,0.00002154634,0.00007418763],"genre_scores_gemma":[0.9029376,0.00006901329,0.09670514,0.0001397236,0.00006024004,0.000003876534,4.053013e-7,0.00001772334,0.00006627007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616369,"threshold_uncertainty_score":0.4114606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711632790542188,"score_gpt":0.3064022144556466,"score_spread":0.2592858865502247,"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."}}