{"id":"W2588046727","doi":"10.1093/neuonc/now212.834","title":"SURG-36. IMPACT OF MULTIMODALITY MONITORING USING DIRECT ELECTRICAL STIMULATION TO DETERMINE CORTICOSPINAL TRACT SHIFT AND INTEGRITY IN THE iMRI suite","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Corticospinal tract; Resection; Neurological deficit; Motor cortex; Deep brain stimulation; Surgery; Intraoperative MRI; Stimulation; Brain tumor; Interventional magnetic resonance imaging; Radiology; Magnetic resonance imaging; Diffusion MRI; Internal medicine; Pathology","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":[0.0004336825,0.0003075759,0.0001591773,0.0003540315,0.0001197804,0.0002873016,0.00009625787,0.0001422656,0.004619454],"category_scores_gemma":[0.0007385714,0.00009619199,0.000242014,0.0001364541,0.0001965776,0.0002461554,0.0002933465,0.0002679177,0.001275449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221022,"about_ca_system_score_gemma":0.0002829638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605054,"about_ca_topic_score_gemma":0.001649342,"domain_scores_codex":[0.999896,0.00002955562,0.00001323165,0.00001956722,0.00002562186,0.00001600082],"domain_scores_gemma":[0.9996519,0.00009222706,0.00007205497,0.00003784665,0.0000488337,0.00009705362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00754882,0.0006947287,0.3281963,0.0003707971,0.0003183538,0.002947702,0.0001861937,0.004615018,0.08905566,0.0003412241,0.004745505,0.5609797],"study_design_scores_gemma":[0.0007936761,0.01623613,0.8660793,0.0002276632,0.0003799126,0.03144582,0.0002721957,0.01464436,0.05540391,0.0008835818,0.01354588,0.00008763091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808995,0.002353267,0.006634847,0.0003404929,0.0001148447,0.0000515645,0.0004009432,0.0002069646,0.008997603],"genre_scores_gemma":[0.9922308,0.0008341849,0.004158287,0.0001498031,0.00007503319,0.00004852608,0.000397848,0.00002466731,0.002080805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004619454,"threshold_uncertainty_score":0.01545358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07608805098096767,"score_gpt":0.4288548840162442,"score_spread":0.3527668330352765,"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."}}