{"id":"W4387362397","doi":"10.1080/14740338.2023.2267971","title":"The role of co-morbidities in the development of an AEFI after COVID-19 vaccination in a large prospective cohort with patient-reported outcomes in the Netherlands","year":2023,"lang":"en","type":"article","venue":"Expert Opinion on Drug Safety","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, British Columbia; Ministerie van Volksgezondheid, Welzijn en Sport","keywords":"Medicine; Vaccination; Rheumatoid arthritis; Comorbidity; Cohort; Adverse effect; Malaise; Logistic regression; Coronavirus disease 2019 (COVID-19); Pediatrics; Odds ratio; Internal medicine; Disease; Immunology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002341617,0.0001515365,0.0002809944,0.0002552468,0.0001048205,0.000015978,0.0002311295,0.00006022038,0.00001029501],"category_scores_gemma":[0.0003088709,0.00007046199,0.0000457901,0.00071867,0.00006467649,0.00007712391,0.0000430585,0.0002548077,0.00000326757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496754,"about_ca_system_score_gemma":0.0004790359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004853601,"about_ca_topic_score_gemma":0.002738814,"domain_scores_codex":[0.9976884,0.0003933812,0.0005627213,0.000252492,0.0008265512,0.0002765132],"domain_scores_gemma":[0.9986743,0.0006595308,0.0001444033,0.000416256,0.0000835346,0.00002192855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002058412,0.0004925846,0.8749865,0.00002588328,0.00003806212,0.00002429835,0.1189164,0.000006008145,0.0001005009,0.0002038106,0.0001055571,0.003041967],"study_design_scores_gemma":[0.002508591,0.0002504957,0.9211098,0.00007352242,0.000002099767,0.000004726152,0.0463567,0.0002658357,0.003670317,0.0001410653,0.02552764,0.00008918254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949087,0.0002635598,0.00001072038,0.001856371,0.00005548395,0.001606905,0.00001183916,0.00002108343,0.001265318],"genre_scores_gemma":[0.9953425,0.00005065813,0.00002084364,0.00364772,0.00002471639,0.0008510069,0.00003662966,0.00001491786,0.0000110302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07255968,"threshold_uncertainty_score":0.2873357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716526555589809,"score_gpt":0.3680216653711588,"score_spread":0.3408563998152607,"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."}}