{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008341379,0.0003671297,0.0003282899,0.001232185,0.0001514291,0.0005949649,0.0002742313,0.0003532729,0.000644523],"category_scores_gemma":[0.002636255,0.00009766054,0.0002899703,0.0005804039,0.0002595217,0.0004168949,0.0003587744,0.0002774204,0.0002299904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123175,"about_ca_system_score_gemma":0.0001687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00081657,"about_ca_topic_score_gemma":0.0007831111,"domain_scores_codex":[0.9998268,0.00003289308,0.00002300661,0.00005267345,0.00004067239,0.0000239785],"domain_scores_gemma":[0.9990396,0.0003361475,0.00036061,0.00007062717,0.0001170353,0.00007589397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007571775,0.00005641746,0.9383335,0.00006906007,0.000164542,0.0004662562,0.0001226057,0.00282944,0.02423375,0.0001170102,0.0002425026,0.03260786],"study_design_scores_gemma":[0.00002967102,0.0002812642,0.9721642,0.00002732036,0.0001958635,0.002441946,0.0001862606,0.01676931,0.006377432,0.0008201363,0.0006840337,0.00002259753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977897,0.0003381468,0.001376413,0.0000371856,0.000003497609,0.000009319985,0.0001538808,0.0000137008,0.0002781812],"genre_scores_gemma":[0.9987525,0.00008222362,0.0008100652,0.000009332529,0.000008006482,0.000006872777,0.0002593399,0.000003761556,0.0000679818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232185,"threshold_uncertainty_score":0.004411399,"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."}}