{"id":"W2984011971","doi":"10.1016/j.vaccine.2019.10.065","title":"Seeking the optimal schedule for chickenpox vaccination in Canada: Using an agent-based model to explore the impact of dose timing, coverage and waning of immunity on disease outcomes","year":2019,"lang":"en","type":"article","venue":"Vaccine","topic":"Herpesvirus Infections and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"Alberta Health","keywords":"Chickenpox; Medicine; Chickenpox Vaccine; Shingles; Vaccination; Dosing; Vaccination schedule; Incidence (geometry); Immunology; Pediatrics; Immunization; Varicella vaccine; Internal medicine; Immune system; Virus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002153978,0.001107923,0.001950226,0.001140522,0.001383411,0.002559306,0.002057925,0.00230109,0.005929012],"category_scores_gemma":[0.007202337,0.00110895,0.00120594,0.001052824,0.001174526,0.001064598,0.000967638,0.002279739,0.0002804745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02424186,"about_ca_system_score_gemma":0.0324434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9365527,"about_ca_topic_score_gemma":0.8898237,"domain_scores_codex":[0.9993289,0.0001890345,0.00001630896,0.00009018252,0.00004639224,0.0003292648],"domain_scores_gemma":[0.9970188,0.00183766,0.0003023952,0.00003557998,0.0003635327,0.0004420766],"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":[0.0004443248,0.0001927877,0.01051853,0.00006484362,0.0001295953,0.0001472767,0.00005888003,0.9810893,0.0001967197,0.003278934,0.001301212,0.002577533],"study_design_scores_gemma":[0.0002434159,0.0001357207,0.00345717,0.00002236733,0.000114489,0.00002115045,0.0001789463,0.9939508,0.00008427629,0.001239778,0.0005300448,0.00002178387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590611,0.00145108,0.01905054,0.005464893,0.0001111849,0.0004753009,0.003182491,0.0001236455,0.01107982],"genre_scores_gemma":[0.9872068,0.0005654679,0.004830658,0.000260335,0.00002020529,0.00009925119,0.0006583314,0.00002057648,0.006338297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0634473,"threshold_uncertainty_score":0.1758878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07689248323667135,"score_gpt":0.3518250290778143,"score_spread":0.2749325458411429,"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."}}