{"id":"W4412529647","doi":"10.1016/j.biochi.2025.07.018","title":"Ribosome biogenesis is a therapeutic vulnerability in pediatric neuroblastoma","year":2025,"lang":"en","type":"article","venue":"Biochimie","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institut National Du Cancer; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Ligue Contre le Cancer; Agence Nationale de la Recherche; Conseil National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Convergence","keywords":"Neuroblastoma; Ribosome biogenesis; Vulnerability (computing); Biogenesis; Medicine; Computational biology; Biology; Ribosome; Bioinformatics; Genetics; Computer science; RNA; Computer security","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":[0.0001248086,0.0001849985,0.0002660939,0.0005089865,0.0000670511,0.00002092964,0.0001255143,0.0000829213,0.0001294812],"category_scores_gemma":[0.00009132108,0.0001513478,0.0001289766,0.001060492,0.00006284344,0.00004515272,0.00007874196,0.000194268,0.0001710938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009929718,"about_ca_system_score_gemma":0.0002233666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006488989,"about_ca_topic_score_gemma":0.00004313636,"domain_scores_codex":[0.9985412,0.000101871,0.0002499133,0.0004504735,0.0002548208,0.0004017449],"domain_scores_gemma":[0.99919,0.0001140349,0.00003251997,0.0004597512,0.00005483903,0.0001488953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001241897,0.002458786,0.9348033,0.0004526945,0.0001573686,0.0004092534,0.00009903523,0.000001906337,0.03819864,0.0003123026,0.003726515,0.01813831],"study_design_scores_gemma":[0.002355296,0.0004296925,0.9549279,0.00003029722,0.00008286804,0.00001618641,0.000007876422,0.00005082763,0.04035859,0.0004787931,0.001153859,0.0001078248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922987,0.0007310071,0.00001642172,0.003344882,0.0001302361,0.000540128,0.00002170709,0.0000762713,0.002840707],"genre_scores_gemma":[0.9962493,0.0002842366,0.00008410771,0.001622806,0.00006238715,0.00006342879,0.000007715901,0.00001779596,0.001608261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0201246,"threshold_uncertainty_score":0.6171783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166115366213828,"score_gpt":0.321732492939255,"score_spread":0.3000713392771168,"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."}}