{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005615344,0.0001314907,0.000148646,0.0007480173,0.000111037,0.0005133922,0.0001973551,0.0002287238,0.001194595],"category_scores_gemma":[0.004434287,0.00009616228,0.0002904208,0.0006348859,0.0003305092,0.0004329892,0.0003882357,0.0002787952,0.0001975578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005607418,"about_ca_system_score_gemma":0.0003443212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006113172,"about_ca_topic_score_gemma":0.009122788,"domain_scores_codex":[0.9997465,0.0001102974,0.0000101851,0.00007734788,0.00002558258,0.00003010263],"domain_scores_gemma":[0.9982066,0.0009485498,0.0004615501,0.0001825065,0.0001182495,0.0000824599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003532451,0.00003806902,0.7918665,0.00006932425,0.0003849183,0.0002768349,0.0003679493,0.1582469,0.00656496,0.01094739,0.002220475,0.02866336],"study_design_scores_gemma":[0.00001220523,0.00006911444,0.5565129,0.00002601985,0.00009316965,0.0004760769,0.0002425088,0.4069201,0.001234377,0.03265569,0.001726357,0.00003144828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847616,0.0001916735,0.01137401,0.0003743592,0.000004221484,0.000008790444,0.002149641,0.00008379013,0.001051942],"genre_scores_gemma":[0.9984017,0.00004541091,0.0005775608,0.00001373666,0.000002005919,0.00000372829,0.0008187231,0.000006459589,0.0001305424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006113172,"threshold_uncertainty_score":0.01215518,"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."}}