{"id":"W3112232165","doi":"10.3934/mbe.2021019","title":"The honeymoon period after mass vaccination","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Compute Canada","funders":"","keywords":"Honeymoon; Measles; Vaccination; Incidence (geometry); Mass vaccination; Demography; Medicine; Immunology; Mathematics; Political science","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":[0.000347555,0.0003023375,0.0003754803,0.000229691,0.0004737879,0.0008945478,0.0004768412,0.000674788,0.003417568],"category_scores_gemma":[0.002571523,0.0001432212,0.0004163129,0.0001405219,0.000905352,0.00118247,0.0008425873,0.0008065008,0.0004322817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279935,"about_ca_system_score_gemma":0.0003410418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147099,"about_ca_topic_score_gemma":0.000672842,"domain_scores_codex":[0.9998071,0.00004840798,0.000008305715,0.00006354535,0.0000278597,0.00004478322],"domain_scores_gemma":[0.9994763,0.0001775396,0.0001433056,0.00008473186,0.00004773031,0.00007034338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004030108,0.0001064818,0.01983914,0.0005153254,0.000157846,0.001654704,0.0008716738,0.04123132,0.08296426,0.7943569,0.007501549,0.0503979],"study_design_scores_gemma":[0.0001062009,0.001105815,0.04536436,0.0004802113,0.0002024257,0.00309309,0.0007353475,0.382323,0.02211375,0.494871,0.04949642,0.0001084348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6946324,0.0046225,0.257122,0.001942786,0.0006435977,0.000157322,0.0007038996,0.0004601373,0.03971548],"genre_scores_gemma":[0.988037,0.0005434104,0.006364658,0.0001551912,0.00006864816,0.00006678509,0.0001403547,0.00003083813,0.004593019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003417568,"threshold_uncertainty_score":0.01143295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005011180053370975,"score_gpt":0.2049281563685095,"score_spread":0.1999169763151386,"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."}}