{"id":"W4416141247","doi":"10.1093/neuonc/noaf201.0260","title":"CNSC-52. SPEECH-DERIVED LINGUISTIC AND SPECTRAL FEATURES PREDICT MOLECULAR SUBTYPES OF ADULT-TYPE DIFFUSE GLIOMAS","year":2025,"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 Saskatchewan","funders":"","keywords":"Correlation; Glioma; Classifier (UML); Spectral density; Boosting (machine learning); Spectral analysis","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":[0.0004224086,0.0003148459,0.000283777,0.0008613889,0.0002711029,0.0005707064,0.0002214004,0.0002844406,0.003079226],"category_scores_gemma":[0.001353846,0.00009369361,0.0002356781,0.0004847585,0.000265114,0.0002399073,0.0003618325,0.0001849185,0.0008513372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660002,"about_ca_system_score_gemma":0.0002933038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936205,"about_ca_topic_score_gemma":0.004303824,"domain_scores_codex":[0.9998314,0.00001639349,0.00002921879,0.00005009424,0.00004300073,0.0000297629],"domain_scores_gemma":[0.9990822,0.0001230095,0.0002959793,0.00006770811,0.0002392494,0.0001918421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006906284,0.00004158271,0.9781194,0.00002617981,0.00004140255,0.0002121255,0.00006493,0.0003377046,0.009173971,0.00003457554,0.0003246673,0.01093296],"study_design_scores_gemma":[0.00001161084,0.0001904584,0.9962083,0.000006953323,0.00002812382,0.0008626755,0.0001073747,0.0008003567,0.001362597,0.00004600148,0.0003696265,0.000006076538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987125,0.00006013338,0.0001950366,0.00001036118,0.000002893336,0.00001257688,0.0005238374,0.000009059512,0.0004735932],"genre_scores_gemma":[0.9981111,0.00003080748,0.0002433996,0.0000053398,0.000003444781,0.0000145189,0.00123424,0.000005232516,0.0003518351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003079226,"threshold_uncertainty_score":0.01030105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765657759795565,"score_gpt":0.2806585603642027,"score_spread":0.2718929026044071,"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."}}