{"id":"W2949746407","doi":"10.1261/rna.069799.118","title":"Assembly and early maturation of large subunit precursors","year":2019,"lang":"en","type":"article","venue":"RNA","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Robertson Foundation; Natural Sciences and Engineering Research Council of Canada; Irma T. Hirschl Trust; National Institute of General Medical Sciences; Rita Allen Foundation","keywords":"Biology; Protein subunit; Ribosome; Ribosomal RNA; Eukaryotic Ribosome; Cell biology; Eukaryotic Small Ribosomal Subunit; Eukaryotic Large Ribosomal Subunit; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004975614,0.00003493902,0.0000432393,0.00001227683,0.0000137791,0.000007103815,0.00003892915,0.00004412787,0.00001860725],"category_scores_gemma":[0.000005606247,0.00003197734,0.00001663137,0.00002645428,0.000009339745,0.000002666184,0.00001616626,0.00002012858,0.000008032716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002015163,"about_ca_system_score_gemma":0.00001323194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001200119,"about_ca_topic_score_gemma":0.000005084225,"domain_scores_codex":[0.9997414,0.00001052824,0.00006180497,0.00008983053,0.00003823452,0.00005821516],"domain_scores_gemma":[0.9997787,0.000001993958,0.00003622019,0.0001325403,0.00003429913,0.00001618628],"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":[0.00002538641,0.00001531377,0.007273977,0.00001271149,0.0000105625,5.487409e-8,0.00003909679,0.000003558789,0.9897029,0.0008407229,0.0003488696,0.001726813],"study_design_scores_gemma":[0.0004106901,0.0002176614,0.2390288,0.00001496949,0.00001195345,0.000002162124,0.00007923423,0.00009256645,0.7142729,0.00008408727,0.04566196,0.0001230498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995945,0.0005433276,0.0002129505,0.0000506656,0.00004541915,0.00007263125,0.000007754865,0.000002417996,0.003119809],"genre_scores_gemma":[0.9976629,0.0001139113,0.0001048991,0.00003190884,0.00003110829,0.000004218939,0.00001679876,0.000004866919,0.002029361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754301,"threshold_uncertainty_score":0.1303998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005705748537901074,"score_gpt":0.242592943845872,"score_spread":0.2368871953079709,"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."}}