{"id":"W4296120246","doi":"10.1038/s41598-022-19996-7","title":"Antigenic drift and epidemiological severity of seasonal influenza in Canada","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Public Health Agency of Canada","funders":"","keywords":"Antigenic drift; Seasonal influenza; Epidemiology; Antigenic variation; Population; Virology; Context (archaeology); Biology; Demography; Influenza A virus; Immunology; Medicine; Environmental health; Disease; Virus; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); 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":[0.001055922,0.0002945834,0.0004060281,0.001415349,0.0016155,0.0009792141,0.0008161492,0.0002345295,0.001669942],"category_scores_gemma":[0.004476375,0.0001921859,0.0004466112,0.00326446,0.0006493184,0.0003200446,0.0006693696,0.0005778337,0.00009462328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02599589,"about_ca_system_score_gemma":0.03502418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959209,"about_ca_topic_score_gemma":0.996119,"domain_scores_codex":[0.9992198,0.00007978372,0.00005981596,0.0001343619,0.0002932131,0.0002129976],"domain_scores_gemma":[0.9975999,0.0001793665,0.0004128619,0.00008506759,0.001207742,0.0005150459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002064239,0.00001908109,0.9880839,0.00004106559,0.0001200524,0.00006047815,0.0007909436,0.0007670553,0.0004898579,0.0003726198,0.0008794919,0.008169103],"study_design_scores_gemma":[0.000006063409,0.00001595421,0.9981323,0.00001830326,0.00002591323,0.00003155524,0.000450603,0.0005391793,0.00008998832,0.00005729364,0.0006233446,0.00000949826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910024,0.001175194,0.0002932392,0.0005180007,0.00002233227,0.00003503128,0.004099563,0.00001449902,0.002839755],"genre_scores_gemma":[0.9977093,0.000373016,0.0002363642,0.00005377096,0.000004327486,0.000006015619,0.0010756,0.000005276255,0.0005363573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02599589,"threshold_uncertainty_score":0.1886143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06902410315699559,"score_gpt":0.3515855389589997,"score_spread":0.2825614358020042,"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."}}