{"id":"W2907514903","doi":"10.1093/sysbio/syy087","title":"Strengthening the Interaction of the Virology Community with the International Committee on Taxonomy of Viruses (ICTV) by Linking Virus Names and Their Abbreviations to Virus Species","year":2018,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Intramural Research Program; U.S. National Library of Medicine; National Institute of Allergy and Infectious Diseases; Science and Technology Directorate; U.S. Department of Health and Human Services; National Institutes of Health; U.S. Department of Defense; Mississippi State University; U.S. Department of Homeland Security","keywords":"Virus classification; Nomenclature; Mandate; Confusion; Biology; Taxon; Taxonomy (biology); Phylum; Virology; Zoology; Political science; Ecology; Law; Genetics; Genome; Psychology","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":[0.0006541469,0.0001192107,0.0003340801,0.00007179318,0.0003098161,0.00001520506,0.0002566483,0.00006444968,0.00003618425],"category_scores_gemma":[0.0002351028,0.00004460837,0.0000642609,0.0001378942,0.0004939614,0.00002926044,0.00014485,0.0002964989,0.000003815271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003569457,"about_ca_system_score_gemma":0.00001922306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006961194,"about_ca_topic_score_gemma":0.001402861,"domain_scores_codex":[0.9986855,0.0006657196,0.0003841819,0.00009565573,0.00007219287,0.00009677956],"domain_scores_gemma":[0.9979156,0.001106745,0.0003930061,0.0004298991,0.000135599,0.00001918723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008269789,0.0009000074,0.2131549,0.003676868,0.002957783,4.804572e-7,0.0346799,0.0001650632,0.7158005,0.02203066,0.003362127,0.002444704],"study_design_scores_gemma":[0.004558566,0.01594604,0.2120234,0.02180356,0.001639591,0.0005611101,0.1088788,0.006452301,0.5725952,0.00220593,0.05231474,0.00102068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944115,0.00009146021,0.001825041,0.001698365,0.0002636976,0.0009474706,0.00004676602,0.00001287404,0.0007028411],"genre_scores_gemma":[0.9987592,0.000006951107,0.00005241523,0.0009176519,0.00008362801,0.0001370837,0.000006100844,0.000007027411,0.00002996566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432052,"threshold_uncertainty_score":0.2382886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06266686887916656,"score_gpt":0.2957613255755447,"score_spread":0.2330944566963782,"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."}}