{"id":"W3010381909","doi":"10.1101/2020.03.02.973602","title":"Fast oscillations &gt;40Hz localize the epileptogenic zone: an electrical source imaging study using high-density electroencephalography","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Queen's University; Ministero della Salute; Jewish Community Foundation of Montreal; Jewish Community Foundation","keywords":"Electroencephalography; Epilepsy; Scalp; Stereoelectroencephalography; EEG-fMRI; Neuroscience; Pattern recognition (psychology); Biomedical engineering; Epilepsy surgery; Computer science; Artificial intelligence; Medicine; Psychology; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002090469,0.0002710277,0.000142493,0.0003190563,0.00005690688,0.0002164543,0.00007439146,0.0001594903,0.001233829],"category_scores_gemma":[0.0007371862,0.00006547457,0.0001226588,0.0001508937,0.0002215756,0.0002500394,0.00022475,0.000117932,0.0001800237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000068682,"about_ca_system_score_gemma":0.00006459412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002906989,"about_ca_topic_score_gemma":0.0003662045,"domain_scores_codex":[0.9999497,0.00001500738,0.0000053821,0.00001207128,0.000009965903,0.000007820722],"domain_scores_gemma":[0.9997885,0.0001036154,0.00004723787,0.00002307498,0.00002262574,0.00001501294],"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":[0.002262756,0.0001790395,0.1922556,0.0004003473,0.0002192721,0.002346362,0.0003514001,0.00231333,0.6500467,0.0004243771,0.000428554,0.1487722],"study_design_scores_gemma":[0.0001189751,0.00173834,0.8580309,0.00005633579,0.0001930877,0.007955886,0.0004415936,0.009943838,0.1187841,0.0009785404,0.001729244,0.0000291689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878677,0.0006863974,0.01064919,0.00005009885,0.000008792843,0.00002703153,0.0001342205,0.00003479046,0.0005417677],"genre_scores_gemma":[0.9975956,0.0001558856,0.002006425,0.0000104659,0.00000810207,0.000008332285,0.00004971088,0.000005144482,0.0001603224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233829,"threshold_uncertainty_score":0.004127502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028692640309552,"score_gpt":0.2674470608812518,"score_spread":0.2471601344781562,"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."}}