{"id":"W4407236347","doi":"10.1093/noajnl/vdaf003","title":"Mapping glioma’s impact on cognition: Insights from macrostructure, microstructure, and beyond","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Universidad Complutense de Madrid; European Regional Development Fund; Universitat Autònoma de Barcelona; York University","keywords":"Cognition; Glioma; Neuropsychology; Cognitive decline; Medicine; Neuroimaging; Psychology; Neuroscience; Oncology; Pathology; Dementia; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002742459,0.0002991662,0.0005183564,0.0002842663,0.0001995636,0.00003301175,0.00007796002,0.0001892665,0.0001080779],"category_scores_gemma":[0.00009891787,0.0002120781,0.0001088488,0.0003293173,0.000222086,0.0001161797,0.00006270831,0.0002793208,0.00001785989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012503,"about_ca_system_score_gemma":0.0001071112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002076959,"about_ca_topic_score_gemma":0.00003532358,"domain_scores_codex":[0.9987025,0.00008047911,0.0002712663,0.0005389277,0.0001394569,0.0002673683],"domain_scores_gemma":[0.9988168,0.0005913949,0.000117035,0.0002575183,0.00007807893,0.0001391413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002048385,0.0006280992,0.08411959,0.0001081866,0.0007037747,0.003501455,0.0005226581,0.00003856647,0.7994045,0.001752689,0.005509616,0.1016624],"study_design_scores_gemma":[0.01020963,0.002040424,0.5901338,0.000210451,0.0004202472,0.0006419622,0.0003746653,0.00003660264,0.2528469,0.03549831,0.1072295,0.0003573861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789846,0.009777972,0.00001398953,0.001676038,0.0008747757,0.0004899945,0.0001178126,0.00007345655,0.007991388],"genre_scores_gemma":[0.9928064,0.0007241894,0.0007573672,0.00534089,0.0001600222,0.00005343373,0.0001216794,0.00001788051,0.00001810685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5465576,"threshold_uncertainty_score":0.8648295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009381972817473383,"score_gpt":0.3005429683721661,"score_spread":0.2911609955546927,"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."}}