{"id":"W2914727986","doi":"10.3390/v11020122","title":"Back to the Future for Influenza Preimmunity—Looking Back at Influenza Virus History to Infer the Outcome of Future Infections","year":2019,"lang":"en","type":"review","venue":"Viruses","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Office of Extramural Research, National Institutes of Health; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Nova Scotia Health Research Foundation","keywords":"Virus; Original antigenic sin; Virology; Antigenic drift; Biology; Antigenic shift; Immune system; Pandemic; Vaccination; Influenza A virus; Immunology; Infectious disease (medical specialty); Medicine; Disease; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001380642,0.001167587,0.003281983,0.0008231146,0.0006689152,0.0000765009,0.00146425,0.0007575618,0.001331577],"category_scores_gemma":[0.001510629,0.000628812,0.001459838,0.001202067,0.0004355764,0.0002389874,0.001778058,0.001850511,0.006827616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100122,"about_ca_system_score_gemma":0.0009350117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000436982,"about_ca_topic_score_gemma":0.001099424,"domain_scores_codex":[0.9944372,0.0006392466,0.001918581,0.0008513969,0.001050947,0.00110268],"domain_scores_gemma":[0.9930707,0.001859868,0.0008252845,0.003076028,0.0008088819,0.0003591908],"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":[0.001254126,0.0006296837,0.006592747,0.06936764,0.005717175,0.000008636059,0.00672728,0.000219555,0.0001946663,0.001163543,0.6089889,0.299136],"study_design_scores_gemma":[0.0008412348,0.0006022297,0.0005668002,0.004554478,0.001713637,0.00002354158,0.0002450689,9.281931e-7,0.00003123226,0.000004077956,0.9907855,0.0006312521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006163784,0.9820553,0.00002149381,0.0005960847,0.002638208,0.01059589,0.0008802134,0.00008707638,0.002509365],"genre_scores_gemma":[0.000004722493,0.9546773,0.0003194959,0.03191584,0.00407403,0.002299934,0.00005090236,0.0003250064,0.006332741],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3817966,"threshold_uncertainty_score":0.9996163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2891383036429608,"score_gpt":0.4613183593477165,"score_spread":0.1721800557047558,"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."}}