{"id":"W2110676700","doi":"10.1098/rspb.2013.3172","title":"The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Vaccination; Context (archaeology); Incentive; Population; Disease; Mathematical modelling of infectious disease; Medicine; Incidence (geometry); Infectious disease (medical specialty); Environmental health; Immunology; Social psychology; Demography; Psychology; Economics; Biology; Microeconomics","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":[0.002253295,0.0004521622,0.0005124086,0.0006987329,0.0005912289,0.001810306,0.0007965739,0.001083616,0.003274386],"category_scores_gemma":[0.01790481,0.0003173638,0.0006644476,0.000316516,0.002048864,0.001578403,0.001042975,0.001107084,0.0003262998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748761,"about_ca_system_score_gemma":0.0008122029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009473579,"about_ca_topic_score_gemma":0.006413577,"domain_scores_codex":[0.9988954,0.0006552186,0.00003951892,0.0001400609,0.0001103477,0.0001594205],"domain_scores_gemma":[0.9910132,0.005206893,0.002464003,0.000417872,0.0003566192,0.0005412952],"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":[0.0002731979,0.0003307372,0.06369567,0.0001763063,0.0002454194,0.001149278,0.002193786,0.3567958,0.006247124,0.5318689,0.003772537,0.03325122],"study_design_scores_gemma":[0.00005533591,0.0001606116,0.02843132,0.00005055329,0.00007257015,0.0002631011,0.0005531586,0.7431506,0.0004654357,0.2241384,0.002574112,0.0000847741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782665,0.0007490677,0.09202321,0.003561996,0.0001008231,0.00005682494,0.0002907022,0.00009985411,0.02485099],"genre_scores_gemma":[0.9949318,0.0003144759,0.002525353,0.00007343354,0.00003553673,0.00002396043,0.00004055111,0.00001474285,0.002040113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009473579,"threshold_uncertainty_score":0.01883692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642513556846296,"score_gpt":0.3451906192461437,"score_spread":0.2809392635615142,"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."}}