{"id":"W2031350279","doi":"10.3171/jns/2008/108/2/0258","title":"Preoperative functional magnetic resonance imaging assessment of higher-order cognitive function in patients undergoing surgery for brain tumors","year":2008,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Functional magnetic resonance imaging; Medicine; Magnetic resonance imaging; Cognition; Brain tumor; Brain mapping; Preoperative care; Radiology; Neuroscience; Surgery; Pathology; Psychology","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":[0.0001840355,0.0003160823,0.0002605514,0.0004369488,0.0002397872,0.0002139659,0.0001367867,0.0003736601,0.0006125575],"category_scores_gemma":[0.0008479155,0.00009836037,0.0001611999,0.0001648429,0.0003421735,0.0002737945,0.0001700688,0.0003326981,0.0001280127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906737,"about_ca_system_score_gemma":0.0002931732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009929442,"about_ca_topic_score_gemma":0.0018508,"domain_scores_codex":[0.999935,0.00001327532,0.000009144324,0.00001341816,0.00001186019,0.00001728401],"domain_scores_gemma":[0.9997364,0.00008665348,0.00007820527,0.00001483192,0.00002555674,0.0000584872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000790833,0.0002603239,0.96299,0.00005305901,0.00004031242,0.003658182,0.0003350381,0.0004384605,0.01697424,0.00002528096,0.0001566839,0.01427747],"study_design_scores_gemma":[0.00002543535,0.001789988,0.9865803,0.000007128559,0.00003595902,0.0064946,0.0002801455,0.0006608515,0.003899191,0.00005073832,0.000161429,0.00001420478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995652,0.00008587289,0.0001120942,0.00002562309,0.000002395324,0.000005944643,0.00002022469,0.000003846093,0.0001788061],"genre_scores_gemma":[0.9996669,0.00005631353,0.0001604163,0.00001617045,0.000004949698,0.000006880034,0.00003777067,7.087644e-7,0.00004980744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009929442,"threshold_uncertainty_score":0.002049208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711952424809835,"score_gpt":0.276723317584598,"score_spread":0.2496037933364997,"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."}}