{"id":"W2961679311","doi":"10.1093/jnen/nlz055","title":"Clinical Utility of GlioSeq Next-Generation Sequencing Test in Pediatric and Young Adult Patients With Brain Tumors","year":2019,"lang":"en","type":"article","venue":"Journal of Neuropathology & Experimental Neurology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Brain tumor; Risk stratification; Pathology; Internal medicine; Oncology; Bioinformatics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544561,0.0002193799,0.0002689284,0.0004787301,0.0001570048,0.0003345362,0.0001436694,0.0002557988,0.0004999802],"category_scores_gemma":[0.002028564,0.0001220549,0.0001453034,0.0003187286,0.0001566595,0.0002723965,0.0001909526,0.0002560035,0.0001716957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229298,"about_ca_system_score_gemma":0.0002707808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220791,"about_ca_topic_score_gemma":0.002086661,"domain_scores_codex":[0.999718,0.00006446739,0.0000433177,0.00005827177,0.00008270273,0.00003322214],"domain_scores_gemma":[0.999163,0.0003448853,0.0002370882,0.00002489904,0.0001491869,0.00008085866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001816218,0.000017579,0.9813349,0.00001779801,0.00001160694,0.001394493,0.0001106862,0.0002515036,0.003716922,0.00002784726,0.000247666,0.01268732],"study_design_scores_gemma":[0.00001394256,0.0006047979,0.9766728,0.00003643181,0.00004424397,0.0106441,0.0004325669,0.00314645,0.006282454,0.00007965039,0.002028074,0.00001457935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969692,0.001104183,0.0007438533,0.00006293696,0.000009300694,0.00001601277,0.000240512,0.00002609422,0.0008278744],"genre_scores_gemma":[0.9972524,0.0005244008,0.00171567,0.00007626215,0.00001099797,0.00001183277,0.0002730105,0.000005604424,0.0001297872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220791,"threshold_uncertainty_score":0.00293231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962749510981669,"score_gpt":0.292583562215831,"score_spread":0.2629560671060143,"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."}}