{"id":"W4384401064","doi":"10.1002/1878-0261.13491","title":"The stress sensor <scp>GCN2</scp> differentially controls ribosome biogenesis in colon cancer according to the nutritional context","year":2023,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National Du Cancer; Merck KGaA; CNIB; Centre National de la Recherche Scientifique; Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche","keywords":"Context (archaeology); Colorectal cancer; Biogenesis; Ribosome biogenesis; Cancer; Biology; Cell biology; Ribosome; Bioinformatics; Medicine; 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":[0.0003184845,0.0001841917,0.0002230248,0.00008579731,0.0002877834,0.00006255513,0.0004561905,0.0002029866,0.00001168913],"category_scores_gemma":[0.0002256887,0.0001299264,0.000132823,0.0003631523,0.0001328373,0.000003464849,0.0001807822,0.000141447,0.00004751067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009870554,"about_ca_system_score_gemma":0.0002275208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002046804,"about_ca_topic_score_gemma":0.002152371,"domain_scores_codex":[0.9983376,0.0002835218,0.0002989123,0.0004192501,0.0001844204,0.0004763183],"domain_scores_gemma":[0.999035,0.0001848667,0.000108187,0.0004328507,0.0001466188,0.00009250039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008289447,0.00008841437,0.003933814,0.000007929807,0.0001249336,0.0000275603,0.00008707171,0.001062703,0.9747673,0.0007921635,0.006648628,0.01237665],"study_design_scores_gemma":[0.002175863,0.0004383115,0.02888618,0.00003249374,0.00006450231,0.00001575326,0.001949847,0.0004027099,0.253305,0.0002096739,0.7123293,0.0001903198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869247,0.002581292,0.001000632,0.007776324,0.0004551146,0.0006754905,0.0002475351,0.00002185928,0.0003170662],"genre_scores_gemma":[0.9941459,0.001275626,0.00004782535,0.001784563,0.0002873503,0.001220793,0.0001672134,0.00003198065,0.001038766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7214622,"threshold_uncertainty_score":0.5298247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618325374355474,"score_gpt":0.2970927681239485,"score_spread":0.2809095143803938,"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."}}