{"id":"W4400541190","doi":"10.1002/bies.202400107","title":"Lost in translation: How neurons cope with tRNA decoding","year":2024,"lang":"en","type":"review","venue":"BioEssays","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Deutsche Forschungsgemeinschaft","keywords":"Transfer RNA; Translation (biology); Protein biosynthesis; Biology; Ribosome; Translational regulation; Messenger RNA; Computational biology; RNA; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003016887,0.0007287004,0.0008845823,0.0009569775,0.0002704655,0.001069092,0.0006371727,0.001084757,0.002045587],"category_scores_gemma":[0.0003198875,0.0002262639,0.0003600557,0.0007052264,0.0005497864,0.001365377,0.0006373682,0.001552652,0.001879818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539539,"about_ca_system_score_gemma":0.0007491226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006201873,"about_ca_topic_score_gemma":0.001081,"domain_scores_codex":[0.9998858,0.00001854321,0.00001736152,0.0000250592,0.00003471681,0.00001853971],"domain_scores_gemma":[0.999923,0.00002989304,0.00001145657,0.000004516352,0.00002182765,0.00000930531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001460908,0.00005239845,0.0002113947,0.01401737,0.0001242647,0.0004315535,0.0001411941,0.0005384634,0.01567512,0.01494251,0.02341744,0.9303021],"study_design_scores_gemma":[0.0000125706,0.00009706969,0.0005393113,0.001216584,0.00006404801,0.001294724,0.00005961067,0.0001253697,0.003394004,0.00435702,0.9888206,0.00001910342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000402014,0.9961091,0.000556028,0.0005357632,0.0004598649,0.000005908133,0.00003041251,0.00002095862,0.001879958],"genre_scores_gemma":[0.00241962,0.9948202,0.0004951057,0.0003737726,0.0001922913,0.000009887925,0.00006069144,0.000004991773,0.0016234],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002045587,"threshold_uncertainty_score":0.006843209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07040723213192998,"score_gpt":0.332851798837504,"score_spread":0.262444566705574,"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."}}