{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007823804,0.0001436327,0.0003774251,0.0002069158,0.00007353541,0.00002225055,0.0001825949,0.00006321649,0.00004779876],"category_scores_gemma":[0.002379467,0.0001117661,0.00006727847,0.0003097567,0.00009385651,0.0002065618,0.00006210201,0.0001625048,0.00001883068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009370714,"about_ca_system_score_gemma":0.00002473602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000463862,"about_ca_topic_score_gemma":9.014005e-7,"domain_scores_codex":[0.9985086,0.00002847141,0.0003991574,0.0002190165,0.0004698481,0.0003748885],"domain_scores_gemma":[0.9991232,0.000278104,0.00007090885,0.0002482525,0.0001158417,0.0001636999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003744966,0.0008903498,0.04010812,0.005099998,0.0002659732,0.00002371315,0.002769609,0.1162793,0.5929349,0.2309389,0.00002172994,0.01029286],"study_design_scores_gemma":[0.0009029645,0.0002639381,0.02782659,0.0001518593,0.00003247265,0.00001706437,0.0001118245,0.9554077,0.01473204,0.0003223468,0.00008840626,0.0001427511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034561,0.00006770315,0.0954645,0.0001237093,0.00004176972,0.000244846,0.000004639489,0.00009353223,0.000503188],"genre_scores_gemma":[0.9834587,0.00000604062,0.01636422,0.00006120561,0.00005326606,0.00001943447,9.984706e-7,0.00001365392,0.00002247043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8391284,"threshold_uncertainty_score":0.455769,"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."}}