{"id":"W2319826935","doi":"10.3934/mbe.2014.11.1045","title":"Optimal control of vaccination dynamics during an influenza epidemic","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McGill University","funders":"","keywords":"Vaccination; Vaccine efficacy; Herd immunity; Population; Epidemic model; Immunization; Medicine; Influenza vaccine; Immunology; Environmental health; Immune system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001372484,0.0006342959,0.0009581831,0.0005206778,0.0003878083,0.001032139,0.0007784387,0.0009320128,0.001048753],"category_scores_gemma":[0.005348773,0.0005072088,0.0005600482,0.000219924,0.001056531,0.001045952,0.0007444569,0.0007464834,0.0001171688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496693,"about_ca_system_score_gemma":0.0016295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118588,"about_ca_topic_score_gemma":0.004813776,"domain_scores_codex":[0.9995498,0.0001583575,0.00002068135,0.0001053173,0.00005001713,0.0001157045],"domain_scores_gemma":[0.9980348,0.001120625,0.0004631425,0.00006460569,0.0001814774,0.0001353373],"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":[0.00007889704,0.00004331091,0.001483152,0.00004351793,0.00003883017,0.00006382821,0.00006282319,0.9784853,0.00514893,0.009889326,0.0002772251,0.004384845],"study_design_scores_gemma":[0.00002192198,0.00006310596,0.0005945094,0.000006775767,0.00001409371,0.0000100126,0.00002436246,0.9945209,0.0004948689,0.00405609,0.0001846448,0.000008779146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707636,0.000687719,0.3203466,0.0008659302,0.00007584771,0.0001100462,0.0001281082,0.0002213079,0.006800823],"genre_scores_gemma":[0.9914318,0.0001682541,0.007396108,0.00005611486,0.00001402969,0.0000407055,0.00003630588,0.00001411527,0.0008425071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01118588,"threshold_uncertainty_score":0.02224153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002902132323453,"score_gpt":0.334821742609268,"score_spread":0.3047927212860335,"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."}}