{"id":"W4379966647","doi":"10.7554/elife.76609","title":"Changes in transmission of Enterovirus D68 (EV-D68) in England inferred from seroprevalence data","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Foreign, Commonwealth and Development Office; European Commission; Princeton University; International Seafood Sustainability Foundation; European and Developing Countries Clinical Trials Partnership; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Seroprevalence; Outbreak; Virology; Enterovirus; Transmission (telecommunications); Transmissibility (structural dynamics); Epidemiology; Virus; Population; Enterovirus Infections; Biology; Enterovirus 71; Medicine; Antibody; Immunology; Environmental health; Serology; Internal medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003439765,0.00007214513,0.0002106717,0.0002926515,0.00002359696,0.000006858897,0.0001634219,0.00008791942,0.0001856729],"category_scores_gemma":[0.0001740811,0.00005980789,0.00001779772,0.0004704697,0.00006596589,0.0000886388,0.0001056551,0.0002549425,0.00007446338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000225323,"about_ca_system_score_gemma":0.0000610445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321241,"about_ca_topic_score_gemma":0.001835286,"domain_scores_codex":[0.9991422,0.0000852751,0.000196187,0.0002136838,0.0001713419,0.0001912855],"domain_scores_gemma":[0.9994089,0.0000844632,0.00002664356,0.0004095151,0.00003044316,0.00004004519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000318761,0.0002083689,0.7401999,0.00009416701,0.00003204367,0.00007206808,0.001486636,0.000008711951,0.2017649,0.000002554297,0.0004480215,0.05536389],"study_design_scores_gemma":[0.002904376,0.0003293718,0.9472072,0.0004311026,0.0000122185,0.000003903763,0.0001649815,0.003463199,0.02638621,0.00001939722,0.01900221,0.00007579832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975935,0.000827616,0.00002402662,0.001028036,0.00008626722,0.0001966208,0.00006266887,0.00003170905,0.0001495432],"genre_scores_gemma":[0.9958194,0.00338911,0.00006002977,0.00009460575,0.00005105623,0.00001474518,0.0001989595,0.000009379541,0.0003627351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2070073,"threshold_uncertainty_score":0.2438895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112222515122102,"score_gpt":0.3811745276082035,"score_spread":0.2699522760959933,"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."}}