{"id":"W4226315319","doi":"10.1016/j.vaccine.2022.04.065","title":"Background incidence rates of adverse events of special interest related to COVID-19 vaccines in Ontario, Canada, 2015 to 2020, to inform COVID-19 vaccine safety surveillance","year":2022,"lang":"en","type":"article","venue":"Vaccine","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Ottawa; Public Health Ontario; University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto; Canadian Institutes of Health Research; Canadian Immunization Research Network; University of Toronto; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Acute disseminated encephalomyelitis; Myocarditis; Transverse myelitis; Guillain-Barre syndrome; Pericarditis; Population; Pediatrics; Incidence (geometry); Internal medicine; Immunology; Disease; Multiple sclerosis","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":[0.001753852,0.0005323463,0.0004368153,0.002695091,0.001385996,0.001420263,0.001308201,0.0005154811,0.004002971],"category_scores_gemma":[0.008649336,0.0003250213,0.001027392,0.00390503,0.0005105116,0.0005508578,0.0008738963,0.0009725768,0.0003401755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04509697,"about_ca_system_score_gemma":0.09429807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916905,"about_ca_topic_score_gemma":0.9947635,"domain_scores_codex":[0.9968362,0.000145247,0.0004066049,0.0003969904,0.001565621,0.0006493334],"domain_scores_gemma":[0.9865094,0.0005305157,0.003906692,0.0001754451,0.007335485,0.001542503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898933,0.00003998382,0.9485973,0.000832,0.0002720993,0.00008633517,0.0003589432,0.0008239091,0.0002036059,0.0005948202,0.03388821,0.01411293],"study_design_scores_gemma":[0.00002768038,0.0000575408,0.9819802,0.0004691243,0.0001114726,0.00009730558,0.000494767,0.0005768264,0.0001500239,0.00008943391,0.01592433,0.00002134515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.51083,0.02125559,0.003528973,0.01187905,0.0005502836,0.001124354,0.4028345,0.0004858654,0.04751138],"genre_scores_gemma":[0.9141253,0.01060939,0.003572689,0.003375815,0.0002464835,0.0004646274,0.05963784,0.00006695655,0.007900874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04509697,"threshold_uncertainty_score":0.327203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08421759937698739,"score_gpt":0.421499104400434,"score_spread":0.3372815050234467,"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."}}