{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01422947,0.001414586,0.001508662,0.008668336,0.002174946,0.003225339,0.001769877,0.001190824,0.02065611],"category_scores_gemma":[0.03041773,0.0007433681,0.001840395,0.006065302,0.0006882134,0.002503901,0.002348497,0.001675559,0.01313129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184631,"about_ca_system_score_gemma":0.004374365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006127336,"about_ca_topic_score_gemma":0.01226536,"domain_scores_codex":[0.9932901,0.001315764,0.001723207,0.001484244,0.001633705,0.0005530057],"domain_scores_gemma":[0.9838371,0.005539865,0.001290535,0.002425023,0.005902214,0.001005174],"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":[0.003823882,0.0002537732,0.09713142,0.006462669,0.0005279888,0.002826179,0.004476605,0.002838592,0.1941358,0.01688607,0.3487912,0.3218459],"study_design_scores_gemma":[0.0002539032,0.000470562,0.06671396,0.001648733,0.0004855961,0.002371944,0.002124555,0.006916739,0.0685218,0.00682232,0.8432853,0.000384695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.2127854,0.006800095,0.1921533,0.003904939,0.004532246,0.002501973,0.5208914,0.02451793,0.03191267],"genre_scores_gemma":[0.1067022,0.002763774,0.343383,0.001404645,0.0004999131,0.001278539,0.5273943,0.004889993,0.01168358],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02065611,"threshold_uncertainty_score":0.07525349,"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."}}