{"id":"W4200117741","doi":"10.1261/rna.078188.120","title":"The landscape of translational stall sites in bacteria revealed by monosome and disome profiling","year":2021,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; National Institutes of Health; RIKEN; Japan Agency for Medical Research and Development; Core Research for Evolutional Science and Technology; Takeda Science Foundation","keywords":"Biology; Profiling (computer programming); Stall (fluid mechanics); Bacteria; Computational biology; Evolutionary biology; Genetics; Ecology","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":[0.0001154949,0.0002479725,0.000240886,0.0006536919,0.0002638305,0.0003472392,0.000149761,0.0002505699,0.0008720243],"category_scores_gemma":[0.0002412153,0.0001577497,0.0001477849,0.0004733494,0.0001819952,0.0002937831,0.0004189726,0.0002826106,0.0003628942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478387,"about_ca_system_score_gemma":0.0001535826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006311875,"about_ca_topic_score_gemma":0.001283448,"domain_scores_codex":[0.9998922,0.000008227142,0.000005921371,0.00003496884,0.00002856023,0.00003000577],"domain_scores_gemma":[0.9998154,0.00003028003,0.00006727855,0.00001682371,0.00003349993,0.00003678255],"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":[0.0001521493,0.000009866271,0.006931797,0.00007525979,0.00001261155,0.0001079779,0.00006694383,0.0004649968,0.9868819,0.0002336883,0.0001024444,0.0049605],"study_design_scores_gemma":[0.000008272614,0.0003015983,0.159454,0.00003847462,0.00007984819,0.0008835527,0.0005097198,0.01665717,0.814132,0.001121035,0.006763044,0.00005126855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850995,0.001048222,0.01123848,0.0000497888,0.000009956297,0.00001338222,0.001333871,0.0001681214,0.001038546],"genre_scores_gemma":[0.9882782,0.0007024672,0.008635778,0.0000486592,0.000005782213,0.00002609211,0.001323608,0.00007847039,0.0009010276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008720243,"threshold_uncertainty_score":0.002917171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007840963068940943,"score_gpt":0.2225889297968135,"score_spread":0.2147479667278725,"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."}}