{"id":"W2968704349","doi":"10.1093/noajnl/vdz014.086","title":"OTHR-09. IDENTIFYING EPIGENETIC SIGNATURES IN LUNG ADENOCARCINOMAS THAT PREDICT DEVELOPMENT OF BRAIN METASTASIS","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Brain metastasis; Medicine; Oncology; Internal medicine; Cohort; Proportional hazards model; Univariate analysis; Lung cancer; Metastasis; Multivariate analysis; DNA methylation; Epigenetics; Adenocarcinoma; Cancer; Biology","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":[0.0004196849,0.0002094017,0.0003316919,0.0001525519,0.00005923807,0.00001136243,0.0002729914,0.000228164,0.00005674027],"category_scores_gemma":[0.0001631458,0.0002067189,0.00008511387,0.0001600095,0.00009050081,0.00001521494,0.0001564322,0.0001779057,0.000007027153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003648992,"about_ca_system_score_gemma":0.000183946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005271764,"about_ca_topic_score_gemma":0.0001722097,"domain_scores_codex":[0.9982535,0.0002323173,0.0004498571,0.0005268193,0.0002125041,0.000325017],"domain_scores_gemma":[0.9991146,0.0001776917,0.0002640932,0.0003142605,0.00006266923,0.00006663847],"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":[0.00009666059,0.0000753946,0.1380104,0.00009861527,0.00003948183,0.00000721855,0.0002238786,0.002490374,0.8411636,0.0000301042,0.00007669652,0.0176876],"study_design_scores_gemma":[0.0008152436,0.0003807397,0.07279481,0.00002728033,0.00002173697,0.000002362536,0.0001632551,0.0001262162,0.869274,0.0001785278,0.05600305,0.0002127463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666843,0.02878096,0.002142663,0.00009483752,0.0003623007,0.000420762,0.000006683766,0.00001127603,0.001496231],"genre_scores_gemma":[0.9942365,0.001162865,0.004125934,0.0001552343,0.00006557766,0.00004260718,0.00004157069,0.00002780172,0.0001418961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06521557,"threshold_uncertainty_score":0.8429752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177814848657156,"score_gpt":0.2991824623007268,"score_spread":0.2814009774350112,"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."}}