{"id":"W4391753583","doi":"10.1016/j.vaccine.2024.01.100","title":"COVID-19 vaccines and adverse events of special interest: A multinational Global Vaccine Data Network (GVDN) cohort study of 99 million vaccinated individuals","year":2024,"lang":"en","type":"article","venue":"Vaccine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; Toronto Public Health; University of British Columbia, Okanagan Campus; Public Health Ontario; BC Centre for Disease Control; University of British Columbia; Canada Research Chairs; University of Toronto","funders":"Centers for Disease Control and Prevention; Department of Family and Community Medicine, University of Toronto; University of Toronto; U.S. Department of Health and Human Services","keywords":"Coronavirus disease 2019 (COVID-19); Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Cohort; Adverse effect; Outbreak; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001592435,0.000411768,0.0009782894,0.0005163707,0.0001085728,0.00002301111,0.0006595791,0.0001966984,0.0003571523],"category_scores_gemma":[0.001721116,0.0003429833,0.0001169863,0.001874011,0.00001610321,0.000325304,0.001085917,0.0003769194,0.00002645169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613033,"about_ca_system_score_gemma":0.0007283387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006142733,"about_ca_topic_score_gemma":0.00119479,"domain_scores_codex":[0.9961945,0.0002302006,0.001135302,0.001018895,0.0009155584,0.0005055072],"domain_scores_gemma":[0.9974999,0.0005114254,0.0002725897,0.001094308,0.0003986832,0.0002230537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001777293,0.001260681,0.9708103,0.0007547819,0.001019298,0.0002336387,0.0003513704,0.00002045874,0.0007963398,0.0001623572,0.01947944,0.003334031],"study_design_scores_gemma":[0.01221748,0.001609514,0.9523311,0.0004416638,0.000719655,0.0001924739,0.0004507817,0.003506465,0.000650573,0.0004758941,0.0270848,0.0003196108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936324,0.001849301,0.0001310926,0.0007385442,0.0007547089,0.002193417,0.0003730561,0.0001189965,0.0002085316],"genre_scores_gemma":[0.9960532,0.00007845979,0.000222393,0.001899369,0.001311849,0.00005130867,0.0002736176,0.00004816686,0.00006167706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847922,"threshold_uncertainty_score":0.9999022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05988162870319151,"score_gpt":0.3891878483324695,"score_spread":0.329306219629278,"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."}}