{"id":"W4388526813","doi":"10.1080/15384101.2023.2278945","title":"Targeting ribosome biogenesis reinforces ERK-dependent senescence in pancreatic cancer","year":2023,"lang":"en","type":"article","venue":"Cell Cycle","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"H2020 European Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institute of Cancer Research; National Cancer Institute; Institut Du Cancer de Montréal; National Institutes of Health; Horizon 2020 Framework Programme; International Development Research Centre","keywords":"Senescence; MAPK/ERK pathway; Ribosome biogenesis; Biology; Cancer research; Pancreatic cancer; Cell biology; Cancer; Signal transduction; Ribosome; Genetics; RNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004891005,0.0001365642,0.0004093257,0.000234954,0.0000934316,0.00001363617,0.0001278024,0.000115507,0.0005497388],"category_scores_gemma":[0.0001523962,0.0001169139,0.00005646075,0.0006281839,0.00008841132,0.00006197958,0.00008918307,0.0001831966,0.0006844451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503008,"about_ca_system_score_gemma":0.0002078733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879223,"about_ca_topic_score_gemma":0.0000818667,"domain_scores_codex":[0.9984764,0.00006670952,0.0003097786,0.0002915213,0.0003279705,0.0005276409],"domain_scores_gemma":[0.9992654,0.0002019391,0.00006148792,0.000248168,0.00005937484,0.0001636712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009826561,0.00006966581,0.8994456,0.0002826896,0.00003354821,0.0002997734,0.0006653218,0.0003254019,0.09640762,0.00001851915,0.001558837,0.0007947837],"study_design_scores_gemma":[0.004306809,0.0003544325,0.8919557,0.000563946,0.0002656138,0.00002977572,0.002887398,0.04780904,0.04857894,0.000323216,0.002395127,0.0005300476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900258,0.0009846701,0.00004041665,0.0006185181,0.0001189197,0.0003899409,0.0000101414,0.0001113972,0.007700206],"genre_scores_gemma":[0.9853755,0.002617133,0.0002611838,0.000169849,0.0001475543,0.0001353061,0.00003763145,0.00002458393,0.01123124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04782868,"threshold_uncertainty_score":0.8797386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723527079512554,"score_gpt":0.325418357415739,"score_spread":0.2981830866206135,"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."}}