{"id":"W3110819839","doi":"10.3390/vaccines8040744","title":"In-Depth Analysis of Genetic Variation Associated with Severe West Nile Viral Disease","year":2020,"lang":"en","type":"article","venue":"Vaccines","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Center for Advancing Translational Sciences; Yale University","keywords":"Biology; Disease; Population; Genetic variation; Virology; Imputation (statistics); Genetics; Gene; Virus; Medicine; Pathology; Missing data","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":[0.00003578588,0.000105218,0.0003508336,0.0001235301,0.00001706769,0.000009146494,0.00005867559,0.00003275021,0.0005080362],"category_scores_gemma":[0.0001726846,0.00008094276,0.0001206711,0.000850391,0.000005789444,0.00005691418,0.00001611071,0.00005189519,0.000007034588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000232911,"about_ca_system_score_gemma":0.00008666536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451102,"about_ca_topic_score_gemma":0.0001952191,"domain_scores_codex":[0.9992175,0.00003462587,0.000225838,0.0002111737,0.0001787434,0.0001321155],"domain_scores_gemma":[0.999404,0.00003554157,0.0001109466,0.0001696184,0.00009917967,0.0001807773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001014199,0.0002120818,0.9948047,0.00006226582,0.0007737128,0.00006094775,0.0001896479,0.001699845,0.0003569484,0.00003833773,0.0003585046,0.0004288159],"study_design_scores_gemma":[0.002152985,0.0001795224,0.9635678,0.00003166517,0.003609312,3.854653e-7,0.00003666708,0.03024511,0.00001327605,0.00001805455,0.00005714401,0.00008809576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967855,0.0003813024,0.0001867507,0.0021706,0.00002142527,0.0002248245,0.00005890652,0.00002839295,0.0001423265],"genre_scores_gemma":[0.9987403,0.00001676574,0.00004097916,0.0008441158,0.00008608306,0.00001801199,0.0001156126,0.00001298564,0.0001251043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03123691,"threshold_uncertainty_score":0.5562641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008638863969382581,"score_gpt":0.2362823552178566,"score_spread":0.2276434912484741,"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."}}