{"id":"W2083000597","doi":"10.1016/j.vaccine.2006.11.020","title":"A dynamic model for assessing universal Hepatitis A vaccination in Canada","year":2006,"lang":"en","type":"article","venue":"Vaccine","topic":"Hepatitis Viruses Studies and Epidemiology","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; Centre hospitalier universitaire de Québec; GlaxoSmithKline (Canada); University of Guelph","funders":"Canadian Institutes of Health Research; GlaxoSmithKline","keywords":"Vaccination; Medicine; Hepatitis A; Transmission (telecommunications); Incidence (geometry); Environmental health; Virology; Disease Eradication; Vaccination policy; Disease; Hepatitis; Computer science; Internal medicine","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":[0.003643606,0.00151731,0.003197958,0.002460094,0.002619715,0.004762927,0.003897967,0.004232449,0.008935028],"category_scores_gemma":[0.01256792,0.001487277,0.001562965,0.002846502,0.002706012,0.002068841,0.002180247,0.002985296,0.0007474853],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03766635,"about_ca_system_score_gemma":0.02632994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9602298,"about_ca_topic_score_gemma":0.897602,"domain_scores_codex":[0.997797,0.0006682221,0.00006467776,0.0003994146,0.0001958184,0.0008749016],"domain_scores_gemma":[0.9931838,0.003872017,0.0006945581,0.000151025,0.001322967,0.000775728],"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":[0.0002341758,0.00008388049,0.01027815,0.00006214842,0.0001420959,0.0002155548,0.0001498601,0.9575875,0.0001636946,0.02393886,0.003296659,0.003847483],"study_design_scores_gemma":[0.0001351142,0.00006094512,0.003679242,0.00003070094,0.0001045225,0.00004297379,0.0002423052,0.9874755,0.00006071603,0.006503566,0.001616078,0.0000483013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144245,0.003147145,0.09515644,0.02060623,0.0003995003,0.000737978,0.01859127,0.0008443879,0.04609257],"genre_scores_gemma":[0.9632993,0.001127686,0.007295943,0.0004208157,0.00006980142,0.0002127631,0.002016914,0.00005854306,0.0254983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9623337,"threshold_uncertainty_score":0.2732898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870534075249381,"score_gpt":0.2842815274659997,"score_spread":0.2655761867135059,"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."}}