{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190372,0.001165244,0.001158934,0.003427626,0.0007589044,0.001856957,0.002290388,0.0007707392,0.01665063],"category_scores_gemma":[0.002519796,0.0006334236,0.0005762342,0.005630591,0.0002430857,0.00177773,0.001581188,0.0009507404,0.02048302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257166,"about_ca_system_score_gemma":0.001394307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483964,"about_ca_topic_score_gemma":0.002366772,"domain_scores_codex":[0.999531,0.00006160327,0.00008065551,0.0001429561,0.0001213845,0.0000623154],"domain_scores_gemma":[0.9991732,0.0001480444,0.0001016102,0.0001852208,0.000234281,0.0001576305],"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":[0.003274041,0.0004709692,0.01061715,0.004037226,0.0002862296,0.0005426226,0.0004583392,0.004113362,0.07195298,0.01062747,0.7077773,0.1858424],"study_design_scores_gemma":[0.0009795482,0.0004049839,0.02600598,0.0004846614,0.0003422207,0.001550246,0.0003528153,0.02637505,0.08707719,0.01675938,0.8394602,0.000207785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02404136,0.001595106,0.09237754,0.0004894926,0.00017508,0.0004848473,0.7754118,0.094528,0.01089671],"genre_scores_gemma":[0.01622651,0.0005545444,0.05387274,0.0001122674,0.00003258234,0.000222398,0.9243123,0.002511948,0.002154768],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01665063,"threshold_uncertainty_score":0.05570185,"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."}}