{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001470699,0.0004048769,0.0008230616,0.0005618731,0.0003767218,0.000004032101,0.0008294977,0.0001420082,0.01991713],"category_scores_gemma":[0.000799957,0.0004372569,0.0001216083,0.002182476,0.0000122447,0.0002203808,0.0007214423,0.001024886,0.00008589162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003742836,"about_ca_system_score_gemma":0.004131746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5474063,"about_ca_topic_score_gemma":0.9738312,"domain_scores_codex":[0.9965776,0.0004087269,0.001337516,0.0005963871,0.0004045456,0.0006752807],"domain_scores_gemma":[0.9967536,0.0008077433,0.0004284793,0.0004484275,0.0002027604,0.001358963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007665333,0.0004108516,0.6222886,0.000113646,0.000203759,0.0002071499,0.003082375,0.1474557,0.008447984,0.000140844,0.2097666,0.0002171234],"study_design_scores_gemma":[0.005672114,0.0003601155,0.2935588,0.00002476713,0.00006025775,0.0000603169,0.001595589,0.0001868633,0.001822709,0.00007906456,0.6961246,0.0004547916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761893,0.00007669342,0.00003601793,0.01837748,0.002266252,0.001435886,0.00103803,0.00004214138,0.0005381689],"genre_scores_gemma":[0.9780606,0.00007034868,0.00006482019,0.0180602,0.0001821014,0.0001402969,0.0002330293,0.00003207039,0.003156533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4863579,"threshold_uncertainty_score":0.9998079,"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."}}