{"id":"W3113231955","doi":"10.1093/neuonc/noaa222.356","title":"IMG-21. PROSPECTIVE PREOPERATIVE DETERMINATION OF ISOCITRATE DEHYDROGENASE MUTATION IN GLIOMAS USING SPECTRAL EDITING MAGNETIC RESONANCE SPECTROSCOPY","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Isocitrate dehydrogenase; Glioma; Magnetic resonance imaging; IDH1; Proton magnetic resonance; In vivo magnetic resonance spectroscopy; Medicine; Brain tumor; Magnetic resonance spectroscopic imaging; Nuclear medicine; Radiology; Oncology; Pathology; Mutant; Nuclear magnetic resonance; Cancer research; Biology; Genetics; Enzyme; Gene","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":[0.0003664513,0.000236901,0.0002076115,0.0003513043,0.0002426408,0.0002975451,0.0001389262,0.0003315194,0.001092242],"category_scores_gemma":[0.001131259,0.0001423949,0.0001247004,0.0002407916,0.0002057491,0.0002543889,0.0002092146,0.0003210678,0.0005151002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818748,"about_ca_system_score_gemma":0.0001684342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098054,"about_ca_topic_score_gemma":0.001165397,"domain_scores_codex":[0.9998341,0.00003897791,0.00001531395,0.00005435354,0.00002360978,0.00003371668],"domain_scores_gemma":[0.9993979,0.0001527298,0.0001337485,0.00004315739,0.00008545465,0.0001869687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006748195,0.00007079497,0.9958352,0.000005146631,0.000006809393,0.0002572674,0.00003346054,0.0000393767,0.00107667,0.000008133889,0.00006720431,0.001925184],"study_design_scores_gemma":[0.00002439172,0.001911133,0.994585,0.000004842846,0.00001767818,0.001282574,0.00008949381,0.000370342,0.001288885,0.00002010101,0.0003991819,0.000006347081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999453,0.00006642121,0.00005914552,0.00001391367,0.000002608759,0.0000108428,0.0001089582,0.000004448169,0.0002806416],"genre_scores_gemma":[0.9995317,0.00001963037,0.00008999075,0.00001944322,0.000003849153,0.00001014249,0.0001810154,0.000001754281,0.0001424859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098054,"threshold_uncertainty_score":0.003653944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465855617859811,"score_gpt":0.3421544068164735,"score_spread":0.3174958506378754,"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."}}