{"id":"W4391827555","doi":"10.3346/jkms.2024.39.e76","title":"Adverse Events Following COVID-19 Vaccination in Adolescents: Insights From Pharmacovigilance Study of VigiBase","year":2024,"lang":"en","type":"article","venue":"Journal of Korean Medical Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Research Foundation of Korea; Sungkyunkwan University; National Research Foundation; Ministry of Education; Celltrion; Ministry of Education, India; Ministry of Food and Drug Safety; Pfizer","keywords":"Medicine; Pharmacovigilance; Vaccination; Odds ratio; Adverse effect; MedDRA; Confidence interval; Pandemic; Myopericarditis; Myocarditis; Internal medicine; Coronavirus disease 2019 (COVID-19); Pediatrics; Immunology; Disease; Infectious disease (medical specialty)","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":[0.003468155,0.0002021223,0.0004231304,0.000943555,0.0001961355,0.0006015397,0.0002720086,0.0003145465,0.0009761861],"category_scores_gemma":[0.009334978,0.0001209006,0.0009908921,0.00115451,0.0001472693,0.0003357961,0.000560803,0.0004572253,0.0001025089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007000617,"about_ca_system_score_gemma":0.0006877053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214869,"about_ca_topic_score_gemma":0.00502776,"domain_scores_codex":[0.9977089,0.0009070334,0.0003614863,0.0003979306,0.0004634715,0.0001611123],"domain_scores_gemma":[0.9917995,0.001761304,0.005303151,0.0002162229,0.0005934709,0.0003263766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002299163,0.00002299567,0.9932697,0.00009943367,0.0002565307,0.00006466521,0.00009759278,0.00005598646,0.00007540918,0.00003459056,0.0002919145,0.00550135],"study_design_scores_gemma":[0.00002859455,0.0001811246,0.9978138,0.0001092577,0.0002173514,0.0003925447,0.000115207,0.0002719765,0.00007313553,0.00004225658,0.000749358,0.000005278147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880351,0.005805179,0.0004735391,0.0004494879,0.00001901673,0.00008434726,0.003505162,0.00002274134,0.001605394],"genre_scores_gemma":[0.9974215,0.0008740233,0.0002822801,0.0001693057,0.00002028691,0.00003043896,0.001114337,0.000004044243,0.00008369848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005214869,"threshold_uncertainty_score":0.0183416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176975813634803,"score_gpt":0.4211175154816055,"score_spread":0.3793477573452575,"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."}}