{"id":"W4309014408","doi":"10.1093/neuonc/noac209.452","title":"EPCO-17. UNMASKING CLONAL EVOLUTION OF DIFFUSE INTRINSIC GLIOMA USING MULTI-MODAL GENOMIC DATA","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Biology; Epigenetics; Somatic evolution in cancer; Epigenome; DNA methylation; Transcriptome; Genetics; Glioma; Exome sequencing; Epigenomics; Exome; Genome; Phenotype; Computational biology; Gene; Gene expression","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":[0.000489468,0.000192983,0.0003175551,0.0009452677,0.0002439003,0.0005284061,0.0002490769,0.0003155265,0.002249041],"category_scores_gemma":[0.001161821,0.0001653127,0.0002581034,0.0006709695,0.0001731121,0.0002070629,0.0004068862,0.0003491244,0.0006789083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081353,"about_ca_system_score_gemma":0.0004279813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482347,"about_ca_topic_score_gemma":0.004834865,"domain_scores_codex":[0.9997259,0.00002920267,0.00002166341,0.0001064897,0.00006864437,0.00004806889],"domain_scores_gemma":[0.9992353,0.0001913285,0.0001922659,0.00008875217,0.0001723564,0.0001200002],"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":[0.001600454,0.0001309061,0.361663,0.0006158013,0.0002826565,0.001577004,0.0003882945,0.0040041,0.5143937,0.0008599029,0.004825719,0.1096584],"study_design_scores_gemma":[0.0001397021,0.0007166087,0.6582205,0.0001327326,0.0004005286,0.007410081,0.0004759805,0.04875201,0.2399785,0.001691838,0.04200382,0.00007772866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726273,0.001051601,0.01121564,0.0002488169,0.00005034838,0.000101633,0.01211499,0.000545593,0.002044038],"genre_scores_gemma":[0.9586828,0.0003839004,0.01944658,0.0001317232,0.00003499924,0.0001499716,0.01962278,0.0001629241,0.001384312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002249041,"threshold_uncertainty_score":0.007523775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06440820373949774,"score_gpt":0.3327576589872273,"score_spread":0.2683494552477296,"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."}}