{"id":"W2965109814","doi":"10.1016/j.str.2019.07.007","title":"The Molecular Architecture of Unnatural Amino Acid Translation Systems","year":2019,"lang":"en","type":"letter","venue":"Structure","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Canada Foundation for Innovation; Ontario Research Foundation; Ontario Centres of Excellence","keywords":"Genetic code; Amino acid; Translation (biology); Translation system; Computational biology; Synthetic biology; Transfer RNA; Biology; Structural biology; Biochemistry; Chemistry; Genetics; RNA; Gene; Messenger RNA","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":[0.0004215482,0.0002928517,0.0003450418,0.0001864839,0.0005236517,0.001005611,0.0008299478,0.001567116,0.001169443],"category_scores_gemma":[0.0004332658,0.000334517,0.0001984088,0.0001733733,0.001027778,0.001490063,0.0004730558,0.001779833,0.0008018345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008211894,"about_ca_system_score_gemma":0.0002875765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437421,"about_ca_topic_score_gemma":0.0003178247,"domain_scores_codex":[0.9998642,0.00003904583,0.00001108907,0.00002142806,0.00004092998,0.00002329719],"domain_scores_gemma":[0.9998599,0.00005369634,0.00002190859,0.00002467596,0.00001742294,0.00002238187],"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":[0.0005768961,0.0001356999,0.0002965325,0.0005608519,0.00002866811,0.001486436,0.0002355822,0.01031997,0.5243598,0.3997462,0.01262595,0.04962741],"study_design_scores_gemma":[0.0002687179,0.0006382433,0.0004642599,0.00006926394,0.00004039232,0.001388026,0.0001387687,0.04143018,0.3680806,0.2851583,0.3022181,0.0001051297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5142196,0.1204506,0.1763457,0.09027123,0.01118779,0.0001846072,0.0005301067,0.001828199,0.08498216],"genre_scores_gemma":[0.9240749,0.02216991,0.03268211,0.006781013,0.001785474,0.0001746328,0.0001976401,0.0001258511,0.01200851],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001567116,"threshold_uncertainty_score":0.00595814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006034288770278132,"score_gpt":0.2088634532247617,"score_spread":0.2028291644544836,"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."}}