{"id":"W2097411440","doi":"10.1504/ijcbdd.2014.061645","title":"Aeromonas phages encode tRNAs for their overused codons","year":2014,"lang":"en","type":"article","venue":"International Journal of Computational Biology and Drug Design","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"","keywords":"Aeromonas salmonicida; Aeromonas; Genome; Biology; Gene; Bacteriophage; Codon usage bias; Genetics; GC-content; Bacteria; Microbiology; Escherichia coli","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":[0.0001121066,0.0002700859,0.0003856275,0.0003241199,0.0002860203,0.0004147303,0.0001472963,0.0002420414,0.001125197],"category_scores_gemma":[0.000438809,0.0001474363,0.0003342117,0.0004251729,0.0002522733,0.0001538791,0.0002160695,0.000324289,0.0003747436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325906,"about_ca_system_score_gemma":0.0002544015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004820984,"about_ca_topic_score_gemma":0.0008656078,"domain_scores_codex":[0.9998701,0.00002496999,0.000012806,0.00003357952,0.00003997864,0.00001864649],"domain_scores_gemma":[0.9997278,0.00008721775,0.00008480679,0.0000318971,0.00003724006,0.00003110604],"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":[0.0002576468,0.00001646493,0.004941392,0.0001507463,0.00002981727,0.0002332972,0.00008123834,0.0007201757,0.9849914,0.0008253934,0.00007895756,0.007673596],"study_design_scores_gemma":[0.00004336687,0.0005531673,0.04060176,0.00004292503,0.00009593525,0.002245101,0.0002983435,0.00794858,0.9267752,0.00211285,0.01922741,0.00005540384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851543,0.001022671,0.0114748,0.00004557103,0.00002656381,0.00001692587,0.0005545322,0.0002322045,0.001472483],"genre_scores_gemma":[0.9840001,0.0005460565,0.01274098,0.00003775665,0.000009858292,0.00001403232,0.0009744638,0.00005505918,0.001621721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001125197,"threshold_uncertainty_score":0.003764153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485021616339874,"score_gpt":0.2802287257645198,"score_spread":0.2653785096011211,"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."}}