{"id":"W3112381783","doi":"10.1093/neuonc/noaa215.640","title":"NIMG-27. THRESHOLD VALUES OF EARLY METABOLIC CHANGES IN 1H MRSI METABOLIC METRICS PREDICTIVE FOR SURVIVAL IN PATIENTS WITH NEWLY DIAGNOSED HIGH-GRADE GLIOMA","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Choline; Medicine; Creatine; Glioma; Internal medicine; Magnetic resonance imaging; Proportional hazards model; Gastroenterology; Nuclear medicine; Urology; Radiology","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":[0.0002345928,0.000152245,0.0002149437,0.0002178001,0.000146534,0.0003048989,0.0001378046,0.0002357096,0.000922113],"category_scores_gemma":[0.001064086,0.00006515877,0.0001725067,0.0002265987,0.0001408678,0.0001431261,0.0001400942,0.0002429258,0.00024193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702163,"about_ca_system_score_gemma":0.0001896796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298807,"about_ca_topic_score_gemma":0.002297805,"domain_scores_codex":[0.999893,0.00002325333,0.000009171817,0.00002365575,0.0000223815,0.00002860018],"domain_scores_gemma":[0.9992715,0.0001462983,0.0003126395,0.00002854337,0.00006826472,0.0001727919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007625021,0.0000336945,0.9944116,0.000006348838,0.0000223799,0.0001279027,0.000014183,0.00008525662,0.001512696,0.000009427598,0.0001045501,0.00290939],"study_design_scores_gemma":[0.00001082995,0.0002235271,0.9988574,0.000001332486,0.00001425019,0.0002600896,0.00003073076,0.0001750701,0.0002763277,0.00001968197,0.000129017,0.00000178445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994304,0.0001058101,0.00003911239,0.0000267976,0.000003344256,0.00000298615,0.0001239287,0.000002882208,0.0002648831],"genre_scores_gemma":[0.9996767,0.00002065654,0.00003104867,0.00001192237,0.00000365466,0.000002834642,0.0001708664,0.000001068915,0.00008131281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001298807,"threshold_uncertainty_score":0.003084779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028935673253662,"score_gpt":0.2789307091143599,"score_spread":0.2499950358606979,"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."}}