{"id":"W2022067587","doi":"10.3934/mbe.2011.8.1","title":"Pandemic influenza: Modelling and public health perspectives","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Pandemic; Public health; Outbreak; Context (archaeology); Influenza pandemic; Disease; H1N1 influenza; Coronavirus disease 2019 (COVID-19); Management science; Virology; Infectious disease (medical specialty); Computer science; Geography; Medicine; Engineering; Pathology","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":[0.00173941,0.0002302622,0.0004852389,0.0001229223,0.0001937077,0.00005059635,0.0002857206,0.0000758666,0.00006706886],"category_scores_gemma":[0.003825444,0.0001631355,0.00007277585,0.0003464774,0.000282023,0.0002087653,0.0002248025,0.0002046347,0.00001498019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074202,"about_ca_system_score_gemma":0.00003932629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003365775,"about_ca_topic_score_gemma":0.000003293856,"domain_scores_codex":[0.9981155,0.00005334562,0.0004859108,0.0004322217,0.0002692551,0.0006437336],"domain_scores_gemma":[0.9979964,0.001337595,0.0001136468,0.0002312633,0.0000458054,0.0002752734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003160337,0.0001988837,0.004669596,0.0003623253,0.00003950412,0.000002935174,0.01701427,0.0002602501,0.0001691374,0.9763917,0.00004981705,0.0008384405],"study_design_scores_gemma":[0.0003765612,0.0003057062,0.003461964,0.000287199,0.00003244501,0.00003872439,0.009076054,0.2532589,0.0001059257,0.7308778,0.001330463,0.0008482806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4344661,0.001077404,0.5623135,0.0006948615,0.00005434089,0.0002618571,0.000002648813,0.0004324804,0.0006968389],"genre_scores_gemma":[0.8600355,0.0001397308,0.1395093,0.0002226312,0.00003241989,0.00002867465,1.090358e-7,0.00001497445,0.00001661606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4255694,"threshold_uncertainty_score":0.6652474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4836090018859755,"score_gpt":0.4047449342529089,"score_spread":0.07886406763306664,"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."}}