{"id":"W4404007994","doi":"10.34172/hpp.43117","title":"Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study","year":2024,"lang":"en","type":"article","venue":"Health Promotion Perspectives","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vaccine safety; 2019-20 coronavirus outbreak; Vaccination; Public health; Environmental health; Demography; Virology; Internal medicine; Immunization; Immunology; Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001319668,0.0002442472,0.0006415422,0.001109981,0.0001048367,0.00004156568,0.0001229232,0.0000962546,0.0005911743],"category_scores_gemma":[0.001388897,0.0002140739,0.00009663544,0.001798548,0.00006454938,0.0002708971,0.0001188752,0.0005499289,0.0001319359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719607,"about_ca_system_score_gemma":0.001082372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004583136,"about_ca_topic_score_gemma":0.001140384,"domain_scores_codex":[0.9970437,0.0005229044,0.0007467876,0.0008410262,0.0003329337,0.0005126356],"domain_scores_gemma":[0.9984071,0.0001828552,0.00008898397,0.0004272728,0.0001138201,0.0007799346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001529771,0.007219722,0.8763744,0.0007470873,0.0002444123,0.0007059255,0.05534412,0.0001135018,0.0000187379,0.001142117,0.01235892,0.04420131],"study_design_scores_gemma":[0.003075066,0.004941852,0.9563518,0.0002434339,0.0000188654,0.000114545,0.01884368,0.0009580305,4.5966e-7,0.0004015557,0.01482367,0.0002270621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501263,0.001888855,0.0003563577,0.1427206,0.0001920607,0.00214111,0.0009541124,0.0007927109,0.0008279221],"genre_scores_gemma":[0.9956427,0.0001115928,0.0002475127,0.0008595267,0.0001120895,0.00008881265,0.001146937,0.0000426427,0.001748235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1455164,"threshold_uncertainty_score":0.8729679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771233517664646,"score_gpt":0.4526640265237613,"score_spread":0.3755406747572966,"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."}}