{"id":"W2039814737","doi":"10.1371/journal.pcbi.1002452","title":"Evolutionary Game Theory and Social Learning Can Determine How Vaccine Scares Unfold","year":2012,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Herd immunity; Measles; MMR vaccine; Medicine; Context (archaeology); Vaccination; Incidence (geometry); Population; Vaccine efficacy; Immunology; Rubella; Environmental health; Biology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001525346,0.0009169254,0.0008169642,0.0008716019,0.0007314859,0.001791345,0.0009963342,0.002462885,0.007466097],"category_scores_gemma":[0.007573599,0.0004200852,0.00117265,0.0005436163,0.001906928,0.003481705,0.00090758,0.001556065,0.0004918578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122928,"about_ca_system_score_gemma":0.001072839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062724,"about_ca_topic_score_gemma":0.007006018,"domain_scores_codex":[0.9993876,0.0003244411,0.00002260377,0.00009638864,0.00005771354,0.0001112792],"domain_scores_gemma":[0.9974848,0.001815323,0.0003891493,0.00007104241,0.0001148789,0.0001247521],"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":[0.00005712673,0.0001006134,0.00917071,0.0001349109,0.0001431495,0.0003992967,0.0005481731,0.5607237,0.001012123,0.4066834,0.001841508,0.01918525],"study_design_scores_gemma":[0.00003123232,0.00007499658,0.003216274,0.00003418541,0.0000376178,0.0001093752,0.0003101331,0.6631132,0.0001413781,0.3293884,0.003500172,0.00004308228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.361525,0.001745721,0.5522345,0.007794084,0.0002707615,0.0002659085,0.0006347726,0.0001825347,0.07534683],"genre_scores_gemma":[0.9719871,0.0009033767,0.01601649,0.0003727577,0.0000675992,0.000139112,0.0001029698,0.00002838958,0.01038225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01062724,"threshold_uncertainty_score":0.02497661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009931576685484738,"score_gpt":0.2431747430828135,"score_spread":0.2332431663973288,"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."}}