{"id":"W4322617075","doi":"10.1080/22221751.2023.2185455","title":"Effectiveness of BNT162b2 and CoronaVac vaccines in preventing SARS-CoV-2 Omicron infections, hospitalizations, and severe complications in the pediatric population in Hong Kong: a case-control study","year":2023,"lang":"en","type":"article","venue":"Emerging Microbes & Infections","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Health and Medical Research Fund; Food and Health Bureau; Innovation and Technology Commission","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Outbreak; Pediatrics; Infection control; Logistic regression; Population; Internal medicine; Emergency medicine; Intensive care medicine; Environmental health; Virology; Disease","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":[0.001459608,0.0002063425,0.000375052,0.00147891,0.0002764543,0.00005532222,0.00008207295,0.00009928764,0.000001569585],"category_scores_gemma":[0.0004059296,0.0001930037,0.00006338051,0.002838515,0.00004455344,0.0002430973,0.00009164937,0.0003647955,0.000003826777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155718,"about_ca_system_score_gemma":0.00007666608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00849369,"about_ca_topic_score_gemma":0.00798673,"domain_scores_codex":[0.9979417,0.0006077354,0.0005643201,0.0004152585,0.000151263,0.0003197363],"domain_scores_gemma":[0.9986149,0.0008398039,0.0001310475,0.0002886396,0.0001083365,0.00001727962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003490515,0.0008460843,0.9760518,0.0003468264,0.00004017934,0.0000480512,0.00163232,0.0002033297,0.02009279,0.00005809475,0.00002066005,0.0006249734],"study_design_scores_gemma":[0.003098444,0.0002204115,0.992588,0.000202417,0.0001077394,0.0004484777,0.001277728,0.001101175,0.0005917239,0.0001466225,0.00004937243,0.0001678838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965025,0.0006079628,0.0001591067,0.0001429122,0.00009139906,0.002351986,0.00002053041,0.00007733105,0.00004625934],"genre_scores_gemma":[0.9992884,0.00006709921,0.00001995698,0.0001487548,0.00004238318,0.0003849901,0.00001664699,0.00002910231,0.000002646667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950107,"threshold_uncertainty_score":0.9981089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063706772719673,"score_gpt":0.341365090287516,"score_spread":0.3207280225603193,"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."}}