{"id":"W4400103461","doi":"10.4103/ijph.ijph_1755_22","title":"Lesson Learned from the Management of the COVID-19 Pandemic: The Influenza Morbidity and Mortality during the Pre-COVID-19 Era could Be Reduced","year":2023,"lang":"en","type":"letter","venue":"Indian Journal of Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Epidemiology; Human mortality from H5N1; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Transmission (telecommunications); Influenza A virus; Demography; Virology; Virus; Disease; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01950696,0.001288633,0.00421553,0.001429382,0.0008695845,0.004177487,0.004064019,0.01108849,0.007613312],"category_scores_gemma":[0.1259105,0.0007010498,0.002413463,0.001261381,0.002112489,0.007364953,0.001724223,0.01595816,0.002855194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028732,"about_ca_system_score_gemma":0.004369865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267047,"about_ca_topic_score_gemma":0.003705293,"domain_scores_codex":[0.9920427,0.003916097,0.001271122,0.0009318831,0.001410704,0.0004275707],"domain_scores_gemma":[0.9061458,0.0650325,0.005778373,0.001280077,0.01837989,0.003383433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003160414,0.00002885021,0.0005952981,0.00699547,0.0006278164,0.0002040378,0.0002028868,0.0001456594,0.00009095631,0.001694198,0.9487303,0.04036842],"study_design_scores_gemma":[0.001001729,0.0003805257,0.003678435,0.02799884,0.002897056,0.001263789,0.0007596993,0.00117131,0.0004547122,0.02082866,0.9392695,0.0002956736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003655882,0.07926557,0.0004496108,0.8146322,0.1044154,0.00001832663,0.0003102627,0.00005993861,0.00048324],"genre_scores_gemma":[0.01387121,0.09875084,0.001331648,0.4691493,0.4144383,0.0001139264,0.000229066,0.0001426358,0.001973152],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01950696,"threshold_uncertainty_score":0.1031639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4636552183546824,"score_gpt":0.4902963561550365,"score_spread":0.0266411378003541,"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."}}