{"id":"W3216971193","doi":"10.1093/neuonc/noab272","title":"Radiomic signatures of posterior fossa ependymoma: Molecular subgroups and risk profiles","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; Western University","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Magnetic resonance imaging; Ependymoma; Radiology; Proportional hazards model; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008835756,0.0001584422,0.0004957216,0.00009413224,0.00004419036,0.000009257677,0.00005293819,0.0001723514,0.00009137594],"category_scores_gemma":[0.0002333299,0.0001319753,0.0001114835,0.0001375892,0.0001104392,0.00002861062,0.0000892467,0.0002056788,0.000008312236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005710296,"about_ca_system_score_gemma":0.0001727109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004789791,"about_ca_topic_score_gemma":0.00002897716,"domain_scores_codex":[0.9988316,0.0001973972,0.0002558354,0.0003539495,0.0001438452,0.0002173385],"domain_scores_gemma":[0.9990883,0.000259703,0.0001407772,0.0002772384,0.000103717,0.0001302418],"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":[0.0001878848,0.0006099498,0.03821787,0.00006214362,0.0001772037,0.009145778,0.0001558136,0.000003580816,0.9268747,0.0003280409,0.0005186013,0.02371844],"study_design_scores_gemma":[0.004686924,0.001894895,0.1046511,0.00003465563,0.0005518949,0.002383379,0.0001110617,0.00005293726,0.8794392,0.0001442166,0.005933465,0.0001162562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910071,0.005668529,0.000005646149,0.001969908,0.0002168611,0.0003710739,0.00003761964,0.00002647587,0.0006967738],"genre_scores_gemma":[0.9979088,0.0005228553,0.000732731,0.000664206,0.00005688827,0.00005097189,0.00002941165,0.00002397764,0.00001011844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06643327,"threshold_uncertainty_score":0.5381796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052196268797589,"score_gpt":0.2722736337056929,"score_spread":0.261751671017717,"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."}}