{"id":"W4206579104","doi":"10.1128/mbio.03789-21","title":"Vaccinating Children against COVID-19: Commentary and Mathematical Modeling","year":2022,"lang":"en","type":"article","venue":"mBio","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Women and Children's Health Research Institute","keywords":"Vaccination; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public health; Medicine; Disease; Environmental health; Pediatrics; Family medicine; Virology; Infectious disease (medical specialty); Outbreak; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006107,0.0001062782,0.0001964573,0.0001139775,0.0003592025,0.00002673012,0.0001256501,0.00003345599,0.0002119997],"category_scores_gemma":[0.000196518,0.00009987353,0.00005330402,0.0001619336,0.00003013767,0.00004040957,0.0003633695,0.0003612036,0.00002924341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096412,"about_ca_system_score_gemma":0.0001182482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001710029,"about_ca_topic_score_gemma":0.000004758463,"domain_scores_codex":[0.9988448,0.00006831835,0.0001962845,0.0002489804,0.00037878,0.0002628099],"domain_scores_gemma":[0.9995135,0.0001117419,0.00002808333,0.0002316315,0.00002068517,0.00009434635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00248263,0.00427027,0.7171042,0.002391041,0.001265869,0.001744897,0.01952841,0.001087246,0.05757135,0.003632268,0.07938188,0.10954],"study_design_scores_gemma":[0.01495301,0.001609303,0.003189684,0.0001618815,0.0002435216,0.001290383,0.005481018,0.8090984,0.008554816,0.009016497,0.145325,0.001076526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883132,0.0003542118,0.001027792,0.007443652,0.00002508457,0.0003924756,0.00001621713,0.00008620672,0.002341154],"genre_scores_gemma":[0.7660864,0.000002028278,0.0003842666,0.2333397,0.00006960337,0.0000504384,0.00001769499,0.00002002502,0.00002986759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8080111,"threshold_uncertainty_score":0.4072725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04633814833462867,"score_gpt":0.3524357247342895,"score_spread":0.3060975763996608,"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."}}