{"id":"W2089421355","doi":"10.1371/journal.pone.0009360","title":"The Shifting Demographic Landscape of Pandemic Influenza","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"Fogarty International Center; Canadian Institutes of Health Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Centers for Disease Control and Prevention; National Science Foundation; National Institutes of Health; James S. McDonnell Foundation; National Institute of General Medical Sciences; U.S. Department of Homeland Security; Science and Technology Directorate; Michael Smith Health Research BC","keywords":"Pandemic; Demography; Public health; H1n1 pandemic; Epidemiology; Globe; Influenza pandemic; Population; Influenza A virus; Medicine; Geography; Coronavirus disease 2019 (COVID-19); Environmental health; Virology; Virus; Disease; Infectious disease (medical specialty); Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007987611,0.0000917962,0.000139865,0.0005309504,0.0003852504,0.0008869498,0.0002579697,0.0003956546,0.001980491],"category_scores_gemma":[0.004773835,0.00009192734,0.0001370328,0.0003793849,0.000562008,0.001280588,0.0006382773,0.0003228271,0.0002057428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005679544,"about_ca_system_score_gemma":0.0002410962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108576,"about_ca_topic_score_gemma":0.002625975,"domain_scores_codex":[0.9996291,0.0002295763,0.00001172482,0.00005129774,0.00004565771,0.00003270125],"domain_scores_gemma":[0.9992263,0.0002504586,0.0001882431,0.00007087317,0.0001856182,0.00007849435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003168689,0.0001177025,0.7917909,0.0001736517,0.0001501891,0.001292574,0.003977795,0.03926945,0.004950874,0.07029463,0.00498973,0.08267552],"study_design_scores_gemma":[0.00002125732,0.0002217253,0.8148849,0.00009234664,0.00004916374,0.002131043,0.008856608,0.08407356,0.0006844153,0.06925718,0.0196598,0.00006804008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821051,0.0004278974,0.006538677,0.002492646,0.00002054015,0.00001882833,0.0003187256,0.00002883346,0.008048723],"genre_scores_gemma":[0.9989385,0.0001891383,0.0005481535,0.00007956965,0.00001372266,0.000005686372,0.00007145841,0.000002870643,0.0001509815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002108576,"threshold_uncertainty_score":0.006625354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2932731983190333,"score_gpt":0.3798807608993269,"score_spread":0.08660756258029362,"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."}}