{"id":"W1951559178","doi":"10.1016/j.molcel.2015.09.002","title":"EGFR Mutation Promotes Glioblastoma through Epigenome and Transcription Factor Network Remodeling","year":2015,"lang":"en","type":"article","venue":"Molecular Cell","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mental Health Research Canada; Hospital for Sick Children; University Health Network","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Biology; Epigenome; Epigenetics; Transcription factor; Cancer research; Epidermal growth factor receptor; Bromodomain; Carcinogenesis; Transcriptome; Enhancer; Genetics; Mutation; DNA methylation; Gene; Gene expression; Cancer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001195303,0.0001472166,0.0001044173,0.00002326593,0.00006237918,0.00003984764,0.00007975024,0.0001362349,0.000007263593],"category_scores_gemma":[0.00003017807,0.0001338775,0.00005473291,0.00008668333,0.00003817182,0.00001260339,0.00003505577,0.00007352897,0.00001183555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001788247,"about_ca_system_score_gemma":0.00004724466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001411366,"about_ca_topic_score_gemma":0.000008227525,"domain_scores_codex":[0.9990835,0.00007454983,0.0001786262,0.0003077819,0.0001463277,0.0002092168],"domain_scores_gemma":[0.9995495,0.000002467835,0.00006493412,0.0001936911,0.00008792363,0.0001014923],"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":[0.00006303028,0.00003053639,0.00009119296,0.00001804107,0.00001238252,0.000007941833,0.0002373152,0.0008320591,0.9951597,0.00006905104,0.0003817175,0.003097004],"study_design_scores_gemma":[0.0006519089,0.0004172959,0.00003888276,0.00001216963,0.00001388739,0.000009813201,0.00007445495,0.0007372504,0.9684397,0.0008812851,0.02850452,0.0002188144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848808,0.002668848,0.1102909,0.0001938356,0.0001625158,0.0002944545,0.000006626027,0.00002963316,0.001472388],"genre_scores_gemma":[0.9933971,0.00006166648,0.005600112,0.0002965856,0.000165109,0.00001528124,0.00009786418,0.00002766776,0.0003385721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1085164,"threshold_uncertainty_score":0.5459367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643594838255873,"score_gpt":0.2331048341559888,"score_spread":0.2166688857734301,"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."}}