{"id":"W4412657782","doi":"10.1016/j.vaccine.2025.127504","title":"Longitudinal Meta-cohort study protocol using systems biology to identify vaccine safety biomarkers","year":2025,"lang":"en","type":"article","venue":"Vaccine","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Women and Children’s Health Research Institute; University of Ottawa; BC Children's Hospital; University of Toronto; McMaster University; University of Alberta","funders":"Canadian Institutes of Health Research; U.S. Food and Drug Administration; Istituto di Ricovero e Cura a Carattere Scientifico; Centers for Disease Control and Prevention; Ministero della Salute; Department of Health and Ageing, Australian Government; Coalition for Epidemic Preparedness Innovations","keywords":"Medicine; Vaccination; Pharmacogenomics; Bioinformatics; Intensive care medicine; Immunology; Biology; Pharmacology","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":[0.0009421441,0.0004007369,0.0007000039,0.0002715558,0.0002161521,0.00009993978,0.000482472,0.0001817928,0.00006359677],"category_scores_gemma":[0.000120604,0.0003071721,0.0002237439,0.000567364,0.00000582277,0.00001464741,0.0005273296,0.0001251943,0.00001847209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000561136,"about_ca_system_score_gemma":0.00009791573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003288463,"about_ca_topic_score_gemma":0.00006244852,"domain_scores_codex":[0.9977519,0.0001457552,0.0008945087,0.0006173508,0.0001404669,0.0004500395],"domain_scores_gemma":[0.9984796,0.00001974826,0.0002147929,0.000953038,0.000224421,0.0001084143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002027448,0.0007799183,0.8039371,0.0003554998,0.01236827,0.000007343792,0.00007273148,0.001616942,0.168474,0.0002783435,0.00888927,0.001193169],"study_design_scores_gemma":[0.01154935,0.00263393,0.819372,0.0001119662,0.003798251,0.00009152091,0.001006335,0.004075164,0.02554677,0.00006853099,0.1302623,0.001483867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702665,0.0007444363,0.01697562,0.0003423112,0.0006754674,0.1095033,0.00004402818,0.00007072052,0.001377575],"genre_scores_gemma":[0.9613128,0.00001622333,0.001073031,0.0001764554,0.0002038301,0.03623066,0.0001176375,0.00004430667,0.0008250531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1429272,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648968962670866,"score_gpt":0.3484257983127954,"score_spread":0.3119361086860867,"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."}}