{"id":"W4385964404","doi":"10.1093/brain/awad199","title":"Brain tumour genetic network signatures of survival","year":2023,"lang":"en","type":"article","venue":"Brain","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Guarantors of Brain; University College London Hospitals NHS Foundation Trust; National Institute for Health and Care Research; Medical Research Council Canada; Wellcome Trust","keywords":"Oligodendroglioma; Astrocytoma; Inference; Glioma; Computational biology; Biology; Genetic heterogeneity; Epigenetics; Computer science; Bioinformatics; Genetics; Artificial intelligence; Phenotype; Gene","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":[0.0003888784,0.0001258631,0.0001584306,0.00003509116,0.00005371612,0.00001388664,0.0002192208,0.0001648588,0.00002476605],"category_scores_gemma":[0.0001249449,0.0001202032,0.00007657202,0.0003183204,0.00006049912,0.000001502406,0.00015328,0.00009558155,0.00003573812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003881683,"about_ca_system_score_gemma":0.00006268128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008714801,"about_ca_topic_score_gemma":0.00003681891,"domain_scores_codex":[0.9990801,0.00005527488,0.0002510924,0.0001806794,0.0001163058,0.0003164968],"domain_scores_gemma":[0.9994663,0.00004282359,0.00009286449,0.0002726506,0.00005839079,0.00006695264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005690736,0.00002077709,0.0010047,0.00004570761,0.00008228138,0.000007338895,0.0001006596,0.01200434,0.1700625,0.00153106,0.8032195,0.0118642],"study_design_scores_gemma":[0.002253639,0.000782381,0.09190669,0.0000901997,0.00004210316,0.00002351261,0.0003242242,0.0181986,0.02577525,0.006831285,0.8526624,0.001109716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735814,0.002301218,0.009206183,0.002942912,0.001440906,0.0005234866,0.00008487116,0.0000868724,0.009832158],"genre_scores_gemma":[0.9915326,0.00009756036,0.001617562,0.001374953,0.001022031,0.00001231919,0.0002599682,0.00003277392,0.004050266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442873,"threshold_uncertainty_score":0.4901744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008204121873702558,"score_gpt":0.2324089859906242,"score_spread":0.2242048641169216,"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."}}