{"id":"W2899817298","doi":"10.1093/neuonc/noy148.681","title":"PATH-25. SURVIVAL STRATIFICATION OF IDH MUTANT GLIOMA USING METHYLATION AND mRNA ANALYSIS OF HOX GENES","year":2018,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Hox gene; Biology; Methylation; Glioma; Gene; Hazard ratio; Cancer research; Genetics; Molecular biology; Oncology; Gene expression; Internal medicine; Medicine; Confidence interval","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":[0.000183492,0.0001635414,0.0001651421,0.0004537321,0.0001103083,0.0002772297,0.00009886072,0.00009659137,0.00153352],"category_scores_gemma":[0.0002916257,0.00005837186,0.0002125126,0.0002242979,0.00009244299,0.00006855911,0.0001873839,0.0001621056,0.0002948053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002896802,"about_ca_system_score_gemma":0.000238612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002362446,"about_ca_topic_score_gemma":0.003625233,"domain_scores_codex":[0.9999158,0.00001740782,0.00000705227,0.00002165776,0.00001787741,0.00002019383],"domain_scores_gemma":[0.9998946,0.0000304911,0.00002995609,0.000008689648,0.00001435876,0.00002201514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002021679,0.00007502089,0.8279654,0.0001194564,0.0001521848,0.0002558922,0.0001167019,0.002050513,0.1268486,0.0001351248,0.0006796599,0.0395799],"study_design_scores_gemma":[0.00001643806,0.0003311684,0.9747289,0.000005860762,0.00009220497,0.000505774,0.00008034571,0.004504638,0.01841292,0.0001892381,0.001125056,0.000007482722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973236,0.0002111223,0.0005964108,0.00002471686,0.000003437137,0.000009504477,0.001378645,0.00002472099,0.0004277268],"genre_scores_gemma":[0.9973767,0.00006682914,0.0005748714,0.0000083989,0.000001518515,0.00001561396,0.001554025,0.000005332137,0.0003967019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002362446,"threshold_uncertainty_score":0.005130112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08373638907665247,"score_gpt":0.3234200550005184,"score_spread":0.2396836659238659,"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."}}