{"id":"W4375952404","doi":"10.54724/lc.2023.e5","title":"Allergic diseases and COVID-19 pandemic: facing unprecedented challenges","year":2023,"lang":"en","type":"article","venue":"Life Cycle","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Bill and Melinda Gates Foundation","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; 2019-20 coronavirus outbreak; Environmental health; Intensive care medicine; Infectious disease (medical specialty); Immunology; Virology; 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":[0.0001015278,0.0001056413,0.0002005606,0.00008872975,0.0001192768,0.00001754781,0.00003332087,0.00006725782,0.0001099897],"category_scores_gemma":[0.0004268634,0.00009308586,0.00004117436,0.0001410009,0.00004951087,0.00005881314,0.00004483449,0.00007538232,0.00008623338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003433777,"about_ca_system_score_gemma":0.0000687441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110902,"about_ca_topic_score_gemma":0.00003730312,"domain_scores_codex":[0.9991822,0.000042584,0.0001605629,0.000241529,0.000181099,0.0001920051],"domain_scores_gemma":[0.9992155,0.0001270503,0.00004169184,0.0001519392,0.00003038729,0.0004334287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001320507,0.000635689,0.7742468,0.002496384,0.001145314,0.00204312,0.03129772,0.007667863,0.005890916,0.009668957,0.06800985,0.09557685],"study_design_scores_gemma":[0.005033945,0.0002282467,0.8616747,0.0002002864,0.0001468497,0.0002599127,0.008205025,0.04490937,0.00004475566,0.002429516,0.07638541,0.0004819286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841118,0.002534216,0.0002539956,0.009313713,0.0001123895,0.000212683,0.00001446728,0.0005143954,0.002932278],"genre_scores_gemma":[0.9859485,0.0105027,0.00003051023,0.002293386,0.0001794555,0.00001094879,0.0001050207,0.00002012395,0.0009093793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09509492,"threshold_uncertainty_score":0.3795931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07459918162619464,"score_gpt":0.3239747169488292,"score_spread":0.2493755353226346,"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."}}