{"id":"W2748672520","doi":"10.1093/neuros/nyx239","title":"Recent Advances in Epilepsy Surgery and Achieving Best Outcomes Using High-Frequency Oscillations, Diffusion Tensor Imaging, Magnetoencephalography, Intraoperative Neuromonitoring, Focal Cortical Dysplasia, and Bottom of Sulcus Dysplasia","year":2017,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Magnetoencephalography; Medicine; Cortical dysplasia; Epilepsy surgery; Diffusion MRI; Epilepsy; Dysplasia; Electroencephalography; Radiology; Neuronavigation; Neuroscience; Magnetic resonance imaging; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003947256,0.0004356484,0.0008144253,0.0004718978,0.0008786033,0.0003248458,0.0002835055,0.0001130805,0.00002383817],"category_scores_gemma":[0.003397788,0.0003989484,0.0001231797,0.0003227403,0.00103746,0.001295861,0.0002993933,0.0005549295,0.000002616356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073266,"about_ca_system_score_gemma":0.00009178548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000216727,"about_ca_topic_score_gemma":0.00006475987,"domain_scores_codex":[0.9965971,0.0003567181,0.0008831564,0.001000252,0.0005148045,0.0006479526],"domain_scores_gemma":[0.9971053,0.001532308,0.0004546868,0.0005609408,0.00009070336,0.0002560892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007070533,0.000158592,0.8679815,0.00005506583,0.000002829303,0.0002411361,0.00006714649,0.0000148001,0.1180989,0.0002449083,0.00001012396,0.01305429],"study_design_scores_gemma":[0.0004860487,0.0001281396,0.9917743,0.0001971097,0.00003602155,0.0002159385,0.00003882251,0.001655471,0.004681513,0.0001608611,0.0002508541,0.0003749026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952258,0.001864606,0.0000270748,0.0005688889,0.001763943,0.0003231431,0.00004586125,0.00005212411,0.0001285868],"genre_scores_gemma":[0.9828543,0.01658117,0.0001702686,0.0001873837,0.0001228792,0.00001547903,0.000002726315,0.0000462995,0.00001949319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237928,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761652444107705,"score_gpt":0.289884475891147,"score_spread":0.26226795145007,"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."}}