{"id":"W2109816625","doi":"10.1016/j.cell.2013.09.034","title":"The Somatic Genomic Landscape of Glioblastoma","year":2013,"lang":"en","type":"article","venue":"Cell","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":5161,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Toronto Western Hospital","funders":"National Cancer Institute; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; Howard Hughes Medical Institute","keywords":"Biology; Somatic cell; Glioblastoma; Genetics; Computational biology; Evolutionary biology; Cancer research; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355119,0.0001140904,0.000194058,0.0007946255,0.0002576453,0.0005871363,0.0002128725,0.0003524776,0.002781912],"category_scores_gemma":[0.0005526306,0.00008338401,0.00007927982,0.0007278381,0.0002673377,0.0002843406,0.0002936605,0.0002102801,0.0002585792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003902408,"about_ca_system_score_gemma":0.0002331952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337062,"about_ca_topic_score_gemma":0.002292667,"domain_scores_codex":[0.9998471,0.00002065967,0.000007798999,0.00003117426,0.00006295848,0.00003037606],"domain_scores_gemma":[0.9998868,0.00003357435,0.00003066445,0.000009402255,0.0000228819,0.00001675679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00105284,0.0001177239,0.2724635,0.0003554632,0.0002131007,0.006549249,0.0006579166,0.003262451,0.4527275,0.0163714,0.004782163,0.2414468],"study_design_scores_gemma":[0.00006384646,0.0004920866,0.8058415,0.0001138134,0.0003954481,0.02707896,0.001573685,0.006914282,0.08955205,0.0271738,0.04076738,0.0000330668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782811,0.006833887,0.001910339,0.001872335,0.00003397355,0.00001618836,0.00100708,0.0000780875,0.009967048],"genre_scores_gemma":[0.9974177,0.001190674,0.0003087024,0.0001472129,0.00002144814,0.000003624393,0.0002403381,0.000007583651,0.000662738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002781912,"threshold_uncertainty_score":0.009306371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634934922275609,"score_gpt":0.2101990614295538,"score_spread":0.2038497122067977,"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."}}