{"id":"W2143111181","doi":"10.1017/s0950268810000579","title":"Age, influenza pandemics and disease dynamics","year":2010,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Public Health Agency of Canada","funders":"","keywords":"Pandemic; Outbreak; Human mortality from H5N1; Vaccination; Disease; Influenza pandemic; Influenza A virus; Vulnerability (computing); Attack rate; Demography; Virus; Biology; Virology; Infectious disease (medical specialty); Medicine; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001122712,0.0001492208,0.0001953952,0.0006921834,0.000424735,0.0008092865,0.0001948299,0.0004223499,0.003663094],"category_scores_gemma":[0.005702716,0.00007493093,0.000126405,0.0007192173,0.0005646567,0.001025222,0.0005014974,0.0005093774,0.0002875561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006195362,"about_ca_system_score_gemma":0.0006269738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126283,"about_ca_topic_score_gemma":0.01120249,"domain_scores_codex":[0.9997486,0.0001382329,0.00001468426,0.00002880561,0.00003080692,0.00003885241],"domain_scores_gemma":[0.9984481,0.0007131198,0.0003712176,0.00004817131,0.0001369436,0.0002823177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005514291,0.0002692304,0.8262848,0.0004549297,0.0002504716,0.0003884409,0.003486022,0.001979721,0.0003829109,0.03262084,0.01107575,0.1222556],"study_design_scores_gemma":[0.00002124929,0.000215571,0.9510983,0.0002098506,0.0001002051,0.0004391295,0.003256436,0.001365403,0.0001006508,0.01942687,0.02374526,0.00002113139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909983,0.069653,0.0007327435,0.01225918,0.0002948987,0.00002853031,0.0009694341,0.00002045908,0.02504355],"genre_scores_gemma":[0.9805902,0.01707111,0.0002159191,0.0003267624,0.0002303654,0.00001043997,0.0001548653,0.000004277143,0.001395943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126283,"threshold_uncertainty_score":0.02239454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09120994726541887,"score_gpt":0.4188316798234746,"score_spread":0.3276217325580558,"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."}}