{"id":"W2150945177","doi":"10.1098/rspb.2009.0057","title":"Implications of vaccination and waning immunity","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust","keywords":"Vaccination; Measles; Immunity; Immunology; Immunization; Mathematical modelling of infectious disease; Disease; Population; Transmission (telecommunications); Herd immunity; Biology; Medicine; Infectious disease (medical specialty); Immune system; Environmental health; Computer science","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":[0.001630955,0.00009221517,0.0002422409,0.000009037622,0.000438178,0.00001462473,0.0004554309,0.00008810335,0.00001950519],"category_scores_gemma":[0.00386103,0.00004369355,0.0001456535,0.0003486974,0.0005367983,0.00005533921,0.0002776605,0.0001162925,2.199741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002824736,"about_ca_system_score_gemma":0.000009665166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002753421,"about_ca_topic_score_gemma":4.007115e-7,"domain_scores_codex":[0.9991644,0.00001858461,0.0002894962,0.0002036189,0.000144761,0.0001791504],"domain_scores_gemma":[0.9986055,0.0008520719,0.000319463,0.00005288278,0.0001401178,0.00002997096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008432024,0.0001590022,0.6724292,0.00005922787,0.00002222365,5.563953e-9,0.0007997663,0.000005112149,0.01656329,0.2997727,0.00178657,0.008394505],"study_design_scores_gemma":[0.00004941569,0.0001633629,0.6045405,0.00001525123,0.000009019005,2.424929e-7,0.0003951152,0.0002986717,0.001529182,0.3929118,0.00003767266,0.00004981522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898509,0.0001535996,0.0001457139,0.005250258,0.00001325831,0.0001735282,0.000002836112,0.0000352334,0.004374652],"genre_scores_gemma":[0.9911945,0.00009392484,0.008349443,0.0003157925,0.00001748782,0.000005863446,1.118079e-7,0.000001090095,0.00002176551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09313915,"threshold_uncertainty_score":0.4622293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200351907437266,"score_gpt":0.4030531481334724,"score_spread":0.2027012406962064,"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."}}