{"id":"W2152860087","doi":"10.3390/v6093663","title":"Filovirus RefSeq Entries: Evaluation and Selection of Filovirus Type Variants, Type Sequences, and Names","year":2014,"lang":"en","type":"letter","venue":"Viruses","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"U.S. National Library of Medicine; National Institute of Allergy and Infectious Diseases; Defense Threat Reduction Agency; Department of Human Services; U.S. Department of Homeland Security; Battelle; Science and Technology Directorate; World Health Organization; National Institutes of Health; U.S. Department of Health and Human Services; U.S. Department of Defense","keywords":"RefSeq; Annotation; Ebola virus; Biology; Genome; Sequence (biology); Whole genome sequencing; Sequence analysis; Genetics; Computational biology; Virus; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005688684,0.0002492128,0.0004771188,0.0003875553,0.0001338151,0.00006308243,0.00006469351,0.0005571486,0.001240745],"category_scores_gemma":[0.0005901149,0.0002044582,0.00004749732,0.0004508314,0.0002212458,0.0001503649,0.00005501638,0.0007671684,0.00007403026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040193,"about_ca_system_score_gemma":0.0003831521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534699,"about_ca_topic_score_gemma":0.00004743279,"domain_scores_codex":[0.9981186,0.000250076,0.0003489178,0.0004216536,0.0005867967,0.000273951],"domain_scores_gemma":[0.9986517,0.0002074044,0.0001908663,0.0002094493,0.000660534,0.00008007663],"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":[0.0004950159,0.00007011781,0.007152331,0.001008206,0.0003905912,0.00004522488,0.0001258922,0.000005585766,0.04408237,0.00008395349,0.9254551,0.02108563],"study_design_scores_gemma":[0.0009304147,0.001536117,0.006184699,0.0003868419,0.0004977969,0.000250108,0.00002483384,0.0006904629,0.007596774,0.0002259319,0.9813841,0.0002919423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7776158,0.0302746,0.0003083295,0.1642917,0.003210929,0.00630204,0.000533713,0.0005878987,0.01687496],"genre_scores_gemma":[0.5842761,0.02163641,0.001589935,0.3712413,0.008179614,0.0001567064,0.00109127,0.0003036874,0.01152497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2069496,"threshold_uncertainty_score":0.9996722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08680265358269874,"score_gpt":0.3739130983569193,"score_spread":0.2871104447742206,"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."}}