{"id":"W2082037542","doi":"10.1371/journal.pone.0014307","title":"Influenza Pandemic Waves under Various Mitigation Strategies with 2009 H1N1 as a Case Study","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; York University","keywords":"Pandemic; Vaccination; Medicine; Immunity; Population; Herd immunity; Immunology; Intensive care medicine; Virology; Environmental health; Coronavirus disease 2019 (COVID-19); Immune system; Disease; Infectious disease (medical specialty); Internal medicine","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":[0.001619137,0.0006568359,0.0005656845,0.0006253669,0.0006471327,0.0006332715,0.001055863,0.001489681,0.002204868],"category_scores_gemma":[0.002908356,0.000271316,0.001436197,0.000419927,0.0004445344,0.0006702074,0.0007225392,0.0008892044,0.0001970354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292571,"about_ca_system_score_gemma":0.0007551829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922781,"about_ca_topic_score_gemma":0.01478359,"domain_scores_codex":[0.9993531,0.0003482138,0.00002181929,0.00005317159,0.00005983508,0.0001639391],"domain_scores_gemma":[0.9985155,0.0009621728,0.0002044955,0.00008112965,0.0001224553,0.0001141895],"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":[0.001315701,0.001722782,0.03823777,0.0002794599,0.0003263683,0.004022313,0.0004288256,0.9051484,0.002474583,0.02381884,0.005316656,0.01690816],"study_design_scores_gemma":[0.0003106204,0.001443899,0.02273424,0.00002480073,0.0001694898,0.0004618578,0.00144082,0.9647318,0.001230662,0.00509637,0.002294121,0.00006150245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834131,0.0002251864,0.007067573,0.0007657061,0.00004234344,0.0002406213,0.0007008611,0.00004700466,0.007497643],"genre_scores_gemma":[0.9918559,0.0002316809,0.004393877,0.0000539809,0.00002231312,0.0001782307,0.0003066474,0.000006773754,0.002950553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01922781,"threshold_uncertainty_score":0.03823179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230850203017464,"score_gpt":0.3735183124633088,"score_spread":0.2504332921615624,"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."}}