{"id":"W4281677849","doi":"10.2196/31955","title":"Mask Use to Curtail Influenza in a Post–COVID-19 World: Modeling Study","year":2022,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Face masks; Influenza pandemic; Medicine; Attack rate; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Vaccine efficacy; Demography; Virology; Disease; Outbreak; Computer science; Infectious disease (medical specialty); Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186016,0.0007626812,0.0005234937,0.0006808356,0.0004207936,0.0009370137,0.001595228,0.00175896,0.002313201],"category_scores_gemma":[0.002037362,0.0004043155,0.001620031,0.0005287378,0.0004254522,0.001093503,0.0007114689,0.001025073,0.0002644649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914872,"about_ca_system_score_gemma":0.001138339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06101925,"about_ca_topic_score_gemma":0.04325576,"domain_scores_codex":[0.9996502,0.0001498802,0.00001407733,0.0000635226,0.00002345645,0.00009885579],"domain_scores_gemma":[0.9984372,0.00102984,0.0002249644,0.00007220658,0.0001492972,0.00008653815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002675095,0.0008082722,0.04331473,0.00008034466,0.0002824442,0.0003173117,0.0001510056,0.9463631,0.0006888605,0.002038463,0.00152033,0.004167565],"study_design_scores_gemma":[0.00005276457,0.0003085864,0.008289495,0.00001612502,0.00008090447,0.00004160382,0.0001797819,0.9896228,0.0002948095,0.0004995081,0.0005926077,0.00002091235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934727,0.0001530142,0.0028495,0.0003703803,0.00001878763,0.00004991555,0.0008457173,0.00003442848,0.002205586],"genre_scores_gemma":[0.995043,0.0001843315,0.002238898,0.00008778593,0.00001236964,0.00005516908,0.0005747002,0.00001177136,0.001791951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06101925,"threshold_uncertainty_score":0.1213281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342014887452489,"score_gpt":0.3776090561969382,"score_spread":0.3041889073224133,"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."}}