{"id":"W1979001850","doi":"10.5402/2012/471653","title":"Dynamics of Single-City Influenza with Seasonal Forcing: From Regularity to Chaos","year":2012,"lang":"en","type":"article","venue":"ISRN Biomathematics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs","keywords":"Outbreak; Seasonal influenza; Forcing (mathematics); Basic reproduction number; Influenza A virus subtype H5N1; Representation (politics); Disease; Biology; Demography; Climatology; Econometrics; Geography; Infectious disease (medical specialty); Virology; Virus; Mathematics; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); 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":[0.0003833703,0.0002473921,0.0005910523,0.0001530136,0.00009464875,0.00001781482,0.0001749651,0.0001279766,0.00005817265],"category_scores_gemma":[0.0007214575,0.0001813433,0.0001022735,0.0004092154,0.0002817005,0.0001474678,0.0002117462,0.000156535,0.00004570722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028195,"about_ca_system_score_gemma":0.000094087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008083841,"about_ca_topic_score_gemma":0.0001314409,"domain_scores_codex":[0.9978861,0.00003827352,0.0004348605,0.0002123437,0.0008412406,0.0005871966],"domain_scores_gemma":[0.9983369,0.0002354383,0.0001789215,0.0006104277,0.0002871779,0.0003511865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001444196,0.003455718,0.8509818,0.002175985,0.001572931,0.00003265888,0.01372628,0.00001158214,0.1043212,0.01642383,0.001033996,0.00481982],"study_design_scores_gemma":[0.01157447,0.004026176,0.4403623,0.005101074,0.001652941,0.0001766064,0.009429178,0.01086885,0.4924514,0.01718253,0.004934354,0.002240164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892604,0.0002342484,0.006799886,0.0007345037,0.00005125196,0.0007204137,0.0001562635,0.00008345361,0.001959612],"genre_scores_gemma":[0.9365912,0.000005117742,0.06261745,0.0004442725,0.0001492315,0.00003084916,0.0000232911,0.00004117578,0.00009740575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4106195,"threshold_uncertainty_score":0.7394965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294380358501611,"score_gpt":0.3678458249998874,"score_spread":0.2384077891497263,"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."}}