{"id":"W4405921029","doi":"10.1128/mbio.03721-24","title":"Are we serologically prepared against an avian influenza pandemic and could seasonal flu vaccines help us?","year":2024,"lang":"en","type":"article","venue":"mBio","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"Consejo Superior de Investigaciones Científicas; National Institute of Nursing Research; Junta de Castilla y León; National Institute of Allergy and Infectious Diseases; European Commission","keywords":"Pandemic; Influenza A virus subtype H5N1; Virology; Coronavirus disease 2019 (COVID-19); Seasonal influenza; 2019-20 coronavirus outbreak; Highly pathogenic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Human mortality from H5N1; Biology; Medicine; Virus; Infectious disease (medical specialty); Disease; Outbreak","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":[0.0004089823,0.0002661048,0.0004159332,0.0001401546,0.000178306,0.0001219651,0.0001399561,0.0002062453,0.0001572298],"category_scores_gemma":[0.0004198875,0.0001938553,0.00008668736,0.0002591734,0.0001644693,0.0002007788,0.0002081968,0.0004952299,0.0001188467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196281,"about_ca_system_score_gemma":0.0001326889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003100041,"about_ca_topic_score_gemma":0.0001583775,"domain_scores_codex":[0.9980493,0.0000909953,0.0002919936,0.0005535007,0.0004500348,0.000564237],"domain_scores_gemma":[0.9989353,0.0001357489,0.0000571747,0.0003378256,0.0001945125,0.0003394632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006576143,0.000119421,0.9662974,0.0006183814,0.0003061654,0.0005264795,0.001003429,0.00001753806,0.01166547,0.00006285027,0.008268612,0.01045658],"study_design_scores_gemma":[0.001563732,0.000564749,0.8267437,0.0005745672,0.0001059522,0.00008404844,0.0005472471,0.001784175,0.0003813375,0.0002535583,0.1670929,0.000304047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845437,0.01119425,0.000007591454,0.002015909,0.000122816,0.0004970325,0.00008264808,0.0004197453,0.001116275],"genre_scores_gemma":[0.9901125,0.001752931,0.0001921309,0.00622628,0.0004190531,0.00008274415,0.00002639196,0.00004052321,0.001147441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588243,"threshold_uncertainty_score":0.790519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1319328625923434,"score_gpt":0.4033583478557387,"score_spread":0.2714254852633953,"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."}}