{"id":"W4396811053","doi":"10.1111/irv.13297","title":"Impact of the COVID‐19 Pandemic on Influenza Circulation During the 2020/21 and 2021/22 Seasons, in Europe","year":2024,"lang":"en","type":"article","venue":"Influenza and Other Respiratory Viruses","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijksinstituut voor Volksgezondheid en Milieu; Center for Surveillance, Epidemiology, and Laboratory Services; Centre hospitalier universitaire Sainte-Justine; European Centre for Disease Prevention and Control","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Circulation (fluid dynamics); Pandemic influenza; Coronavirus Infections; Betacoronavirus; Infectious disease (medical specialty); Outbreak; Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008509479,0.0002824822,0.0003454534,0.0001947499,0.0002508934,0.00009714954,0.0001698331,0.000107855,0.0001335574],"category_scores_gemma":[0.001461389,0.000151664,0.0001171644,0.0008714938,0.000520581,0.0001569085,0.0001940705,0.0005457894,0.00003333421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218346,"about_ca_system_score_gemma":0.0003766502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405377,"about_ca_topic_score_gemma":0.0001801013,"domain_scores_codex":[0.9979497,0.000364953,0.0004345695,0.0004144459,0.000467927,0.000368474],"domain_scores_gemma":[0.9986542,0.0004638163,0.0001099617,0.0004999366,0.00009071218,0.0001813522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006276046,0.00003901539,0.9858993,0.0002770362,0.0001891759,0.00004303773,0.001092802,0.0003228941,0.009805815,0.0001385755,0.0004630389,0.001101715],"study_design_scores_gemma":[0.001098023,0.000160249,0.7093786,0.0002485602,0.00003992973,0.00002855622,0.00006846302,0.00003488763,0.0001928343,0.00003773954,0.2885845,0.0001276745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819593,0.01645021,0.000001006823,0.00005822064,0.00005399884,0.0006863443,0.00007197916,0.00005656551,0.0006623557],"genre_scores_gemma":[0.9540281,0.0000931591,0.000003617541,0.04552902,0.0001945716,0.00005946751,1.19435e-7,0.00006158184,0.00003030773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881214,"threshold_uncertainty_score":0.6184678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1979424935797389,"score_gpt":0.447827913110982,"score_spread":0.2498854195312431,"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."}}