{"id":"W3108470909","doi":"10.1101/2020.12.02.20242370","title":"The influence of human genetic variation on Epstein-Barr virus sequence diversity","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Manitoba; Public Health Agency of Canada","funders":"Fondation Leenaards; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Genetic variation; Viremia; Virus; Genetics; Epstein–Barr virus; Virology; Human genetic variation; Genome; Population; Gene; Whole genome sequencing; Human genome; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005705791,0.0001264706,0.0002609063,0.0006147335,0.0001598485,0.000386774,0.0001114592,0.0001979617,0.001608298],"category_scores_gemma":[0.001227911,0.00007176966,0.000192356,0.0006696019,0.0003653005,0.0001414892,0.0002164448,0.0001885949,0.0001213097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000943976,"about_ca_system_score_gemma":0.00008132614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779094,"about_ca_topic_score_gemma":0.000640729,"domain_scores_codex":[0.9993252,0.0003793983,0.00002785416,0.0001542842,0.00006670107,0.00004662879],"domain_scores_gemma":[0.9991139,0.0005471494,0.0001438256,0.00008867355,0.00002928961,0.00007714575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001507918,0.00005075549,0.8788811,0.00005753177,0.0007233343,0.000674176,0.0003951172,0.001609707,0.09773228,0.0008299335,0.0002018376,0.01733646],"study_design_scores_gemma":[0.00001263345,0.0001830963,0.9897832,0.000009655605,0.0001127423,0.0009420113,0.0001752719,0.002047672,0.005167652,0.0005569152,0.0009979357,0.00001123698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980988,0.0003921217,0.0008829648,0.00002604272,0.000004880586,0.000001887842,0.0002249475,0.000006527329,0.0003618178],"genre_scores_gemma":[0.9996308,0.0000426642,0.00018907,0.000005405622,0.000003600615,9.399243e-7,0.00007682355,0.000002698848,0.0000480409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001608298,"threshold_uncertainty_score":0.005380332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356168883966919,"score_gpt":0.2837385187848292,"score_spread":0.25017682994516,"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."}}