{"id":"W3125085241","doi":"","title":"The possible macroeconomic impact on the UK of an influenza pandemic","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Economic impact analysis; Quarter (Canadian coin); Influenza pandemic; Population; Economics; Development economics; Consumption (sociology); Pandemic influenza; Coronavirus disease 2019 (COVID-19); Geography; Disease; Economic growth; Demographic economics; Medicine; Environmental health; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009883968,0.0004007824,0.0005038168,0.0005177594,0.0003950638,0.002004926,0.0002829271,0.001138387,0.004756599],"category_scores_gemma":[0.008066332,0.0003195154,0.0005149382,0.0006328932,0.0005380987,0.001634718,0.001452888,0.0006705754,0.0004527038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003254163,"about_ca_system_score_gemma":0.0009418322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09734782,"about_ca_topic_score_gemma":0.04642183,"domain_scores_codex":[0.9992931,0.0003754451,0.000035289,0.00005557448,0.00008531654,0.0001552951],"domain_scores_gemma":[0.9986908,0.0006365041,0.0002302022,0.0001013741,0.0002410831,0.0001000153],"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":[0.001841178,0.0001290959,0.06773405,0.0004351586,0.0002421905,0.003239027,0.0006692114,0.8049941,0.004517845,0.07398324,0.01968218,0.02253267],"study_design_scores_gemma":[0.0005739991,0.001149497,0.2426626,0.0005165901,0.0002846038,0.001015183,0.003534725,0.602706,0.002522774,0.1028069,0.04183643,0.0003907731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245259,0.002186373,0.004070911,0.01253735,0.0003825602,0.00005495099,0.00494684,0.0001091212,0.05118602],"genre_scores_gemma":[0.9964975,0.0006178957,0.0002959388,0.0003264075,0.00002248301,0.00001366538,0.0005048545,0.00001002773,0.001711354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09734782,"threshold_uncertainty_score":0.1935624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.243609861815772,"score_gpt":0.4852460687291026,"score_spread":0.2416362069133306,"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."}}