{"id":"W4411235129","doi":"10.3390/vaccines13060638","title":"Strengthening Vaccine Regulation: Insights from COVID-19 Vaccines, Best Practices, and Lessons for Future Public Health Emergencies","year":2025,"lang":"en","type":"article","venue":"Vaccines","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"University of Health and Allied Sciences; Muhimbili University of Health and Allied Sciences; World Health Organization","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Public health; Pandemic; Best practice; Medicine; Political science; Infectious disease (medical specialty); Outbreak; Nursing; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0684013,0.0004594863,0.0006797059,0.003607478,0.00676069,0.01192912,0.002339506,0.003499858,0.00172246],"category_scores_gemma":[0.08094061,0.0007111747,0.0006496592,0.003376844,0.01890918,0.01433522,0.007221299,0.006706484,0.0002488593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01997911,"about_ca_system_score_gemma":0.04488929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515127,"about_ca_topic_score_gemma":0.02166048,"domain_scores_codex":[0.933516,0.05154789,0.002424296,0.002241208,0.006385494,0.003885128],"domain_scores_gemma":[0.8688614,0.1087332,0.008482575,0.002137877,0.008234816,0.00355011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002974919,0.0001280017,0.01078832,0.002272672,0.00002207029,0.0008757517,0.8163466,0.0003132759,0.0003791752,0.09685862,0.007809906,0.06417582],"study_design_scores_gemma":[0.00001040985,0.00006543231,0.009225029,0.006925098,0.0000209282,0.0003258329,0.8849118,0.0005156731,0.0003308924,0.02317016,0.07444943,0.00004931234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4393956,0.05441982,0.02075451,0.3841619,0.001417877,0.000773241,0.0003000317,0.00009452886,0.09868246],"genre_scores_gemma":[0.9596127,0.01941328,0.006245003,0.01255956,0.0001201895,0.0003199407,0.0000776195,0.00003907035,0.001612602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0684013,"threshold_uncertainty_score":0.361745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09337689226251486,"score_gpt":0.388952480005636,"score_spread":0.2955755877431212,"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."}}