{"id":"W4402821266","doi":"10.3390/vaccines12091052","title":"Using Vaccine Safety Data to Demonstrate the Potential of Pooled Data Analysis","year":2024,"lang":"en","type":"article","venue":"Vaccines","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada); University of British Columbia; Ottawa Hospital; Bruyère; University of Ottawa","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Vaccination; Medicine; Safety monitoring; Vaccine safety; Adverse Event Reporting System; Myocarditis; Population; Immunization; Environmental health; Medical emergency; Adverse effect; Statistics; Computer science; Virology; Immunology; Internal medicine; Immune system; Mathematics; Bioinformatics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2495177,0.002315688,0.003112315,0.004648305,0.001263737,0.003423545,0.001901531,0.001832534,0.005155364],"category_scores_gemma":[0.4450215,0.0009908972,0.01103814,0.005561443,0.00117048,0.00302673,0.003656089,0.002395796,0.0004190824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007021097,"about_ca_system_score_gemma":0.01544975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1243129,"about_ca_topic_score_gemma":0.09995231,"domain_scores_codex":[0.6940798,0.2632239,0.01403945,0.01006331,0.01623324,0.002360249],"domain_scores_gemma":[0.561859,0.3536562,0.02009442,0.03489472,0.02849308,0.001002606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01608869,0.001092885,0.2222767,0.0161382,0.1658628,0.001237688,0.003771372,0.1043449,0.003332793,0.06635875,0.01819793,0.3812973],"study_design_scores_gemma":[0.007649182,0.01476773,0.1981921,0.008582021,0.1238347,0.001383049,0.00326849,0.366363,0.01697569,0.1155528,0.1423216,0.001109715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0979872,0.01025092,0.8420881,0.003825061,0.001331918,0.01152931,0.01366389,0.001185918,0.01813769],"genre_scores_gemma":[0.6837145,0.001886771,0.302302,0.001398621,0.0002344056,0.005736032,0.003036639,0.0002461994,0.001444845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2495177,"threshold_uncertainty_score":0.9254783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471844414596571,"score_gpt":0.3875319219409719,"score_spread":0.2403474804813148,"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."}}