{"id":"W4200537071","doi":"10.2196/32364","title":"United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Centro de Investigação em Tecnologias e Serviços de Saúde","keywords":"Coronavirus disease 2019 (COVID-19); Seasonal influenza; Confidence interval; Demography; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Influenza A virus; Medicine; Geography; Virology; Disease; Infectious disease (medical specialty); Internal medicine; Virus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003185236,0.0002368167,0.0007404178,0.0001927272,0.0002647527,0.00003850251,0.0002896048,0.00008488502,0.0002403417],"category_scores_gemma":[0.003675751,0.0001758261,0.0000711691,0.001282849,0.0002934212,0.0001108498,0.000279791,0.0003996523,0.0000109539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000913473,"about_ca_system_score_gemma":0.00348523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394956,"about_ca_topic_score_gemma":0.001504947,"domain_scores_codex":[0.995232,0.001987201,0.0008833603,0.0005842144,0.0005318021,0.0007813566],"domain_scores_gemma":[0.9955722,0.001007024,0.0002776449,0.001008042,0.0006483434,0.001486736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506999,0.0004112829,0.9863571,0.0007320179,0.00007479479,0.000056892,0.002983822,0.00004062563,0.000006877878,0.0002012701,0.006395102,0.002589497],"study_design_scores_gemma":[0.001511102,0.0004487304,0.8010342,0.0000179475,0.00000176383,0.00004740966,0.007481686,0.0007300259,0.000001088182,0.00002183971,0.1885526,0.0001515866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537573,0.002386152,0.0004616495,0.0412447,0.0001240303,0.001156552,0.0006371644,0.0001151349,0.0001172857],"genre_scores_gemma":[0.9650725,0.001910134,0.00005742627,0.03179526,0.00006876658,0.0001124138,0.0008541083,0.00002332074,0.0001061434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1853229,"threshold_uncertainty_score":0.7169979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08340358027983351,"score_gpt":0.4065060544933163,"score_spread":0.3231024742134828,"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."}}