{"id":"W2165567081","doi":"10.1093/bioinformatics/16.5.484","title":"Viral Genome DataBase: storing and analyzing genes and proteins from complete viral genomes","year":2000,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GenBank; Genome; Gene; Biology; Database; Codon usage bias; Genetics; DNA sequencing; Computational biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009020359,0.000137349,0.0001724457,0.00001423552,0.0004747954,0.0001068359,0.00009239763,0.00004195735,0.0002172078],"category_scores_gemma":[0.000009399326,0.00006010417,0.0000291188,0.00009954673,0.0001071396,0.0003325173,0.0001308355,0.0000768921,0.00004559097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019044,"about_ca_system_score_gemma":0.000003028501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645197,"about_ca_topic_score_gemma":0.0002623565,"domain_scores_codex":[0.9993081,0.00001700518,0.0002251274,0.0001355771,0.0001058914,0.0002082787],"domain_scores_gemma":[0.9997421,0.00005467643,0.00006237858,0.00005177281,0.00001982396,0.00006925067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005552233,0.00005863612,0.05803375,0.0000774994,0.0001389377,0.000004599272,0.001783238,0.00001756869,0.1925781,0.0003949885,0.0001167796,0.7467403],"study_design_scores_gemma":[0.0005742778,0.0007362557,0.6934081,0.00008520541,0.0001175238,0.00003071227,0.002295449,0.007123891,0.001351598,0.0004606033,0.292769,0.001047397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956224,0.002666061,0.00004575926,0.0000772145,0.00002611422,0.0001833961,0.0003493484,0.00006340116,0.0009662797],"genre_scores_gemma":[0.9876904,0.003531345,0.008029745,0.0001362577,0.0002825371,0.00001643213,0.0001372095,0.000001624137,0.0001743847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.745693,"threshold_uncertainty_score":0.365179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443914197597459,"score_gpt":0.2256003976103388,"score_spread":0.1911612556343643,"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."}}