{"id":"W2884146924","doi":"10.1016/j.devcel.2018.06.012","title":"Nrf2-Mediated Fibroblast Reprogramming Drives Cellular Senescence by Targeting the Matrisome","year":2018,"lang":"en","type":"article","venue":"Developmental Cell","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Lausanne; Krebsliga Schweiz; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Johns Hopkins University; Wilhelm Sander-Stiftung; Banting Research Foundation; University of Wisconsin-Madison","keywords":"Biology; Cell biology; Reprogramming; Senescence; Carcinogenesis; Fibroblast; Chromatin immunoprecipitation; Activator (genetics); Transcription factor; Cancer cell; Cancer research; Gene expression; Cancer; Cell; Genetics; Gene; Cell culture; Promoter","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":[0.0001706787,0.0002126826,0.0001256853,0.000020298,0.0002532081,0.00004908541,0.0003433042,0.0001175912,0.00005818492],"category_scores_gemma":[0.0000569029,0.0001756249,0.0000633813,0.00010787,0.0002791117,0.000005882639,0.0002726174,0.0001090295,0.0001447058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002838845,"about_ca_system_score_gemma":0.0000620197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001690933,"about_ca_topic_score_gemma":0.000006728461,"domain_scores_codex":[0.9986718,0.00004943383,0.0002656927,0.0004832281,0.0001402148,0.0003896361],"domain_scores_gemma":[0.9994573,0.00001971115,0.0001211596,0.0002263454,0.00007932734,0.00009614481],"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":[0.0000268063,0.00003896499,0.003993631,0.0000170021,0.00001981218,0.000001675805,0.0003357175,4.208204e-7,0.983611,0.000001326913,0.01146648,0.0004871346],"study_design_scores_gemma":[0.0002451945,0.00008159157,0.0003849329,0.00001274501,0.000004848263,0.000003460222,0.0007174913,0.00001537931,0.9062893,0.00001260728,0.09199397,0.0002385197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941602,0.0006897534,0.002342982,0.00008084251,0.0001317699,0.0002299633,0.00003493999,0.00002623652,0.002303267],"genre_scores_gemma":[0.9920208,0.00007875649,0.005534053,0.0002508277,0.0002924123,0.00002057353,0.0005956465,0.00003112375,0.001175768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08052749,"threshold_uncertainty_score":0.7161776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004722509907984806,"score_gpt":0.1996562580327708,"score_spread":0.194933748124786,"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."}}