{"id":"W2028013595","doi":"10.1007/s00285-005-0356-0","title":"Modelling the effect of a booster vaccination on disease epidemiology","year":2005,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Booster (rocketry); Vaccination; Measles; Mathematical modelling of infectious disease; Outbreak; Booster dose; Disease; Vaccine efficacy; Immunology; Disease Eradication; Medicine; Immunity; Immunization; Infectious disease (medical specialty); Environmental health; Virology; Immune system; Engineering","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":[0.003499628,0.0009858302,0.001814383,0.001038733,0.0004193048,0.001802264,0.002038416,0.005024694,0.00858814],"category_scores_gemma":[0.02089828,0.0009896962,0.001478448,0.0007758411,0.001281336,0.002306444,0.001289863,0.002463831,0.0008533571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772325,"about_ca_system_score_gemma":0.001606213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494377,"about_ca_topic_score_gemma":0.006872042,"domain_scores_codex":[0.9986905,0.0007397692,0.00003915988,0.0001850228,0.00007032321,0.0002751654],"domain_scores_gemma":[0.9871565,0.01076472,0.0008602025,0.0003774179,0.000326931,0.000514226],"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":[0.0002889128,0.000122962,0.004418013,0.00009956621,0.00009486207,0.0002199723,0.0001181682,0.9599173,0.001101597,0.02663421,0.0008327852,0.006151678],"study_design_scores_gemma":[0.0001037554,0.0001606865,0.001116478,0.00001599792,0.0000656207,0.00006808165,0.00003557662,0.9795686,0.0002083958,0.0180751,0.0005628724,0.00001877263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7565284,0.001403487,0.2173337,0.007777085,0.0005123923,0.0002160145,0.001628473,0.0003901993,0.01421021],"genre_scores_gemma":[0.9773645,0.0006487467,0.008598067,0.0003395072,0.0001348779,0.0001153399,0.0001954713,0.00003846925,0.012565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494377,"threshold_uncertainty_score":0.02971357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421185605606976,"score_gpt":0.3642310891528885,"score_spread":0.3200192330968187,"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."}}