{"id":"W4404212337","doi":"10.1016/j.nicl.2024.103703","title":"Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives","year":2024,"lang":"en","type":"review","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero della Salute; Academic Medical Organization of Southwestern Ontario","keywords":"Electroencephalography; Epilepsy; Functional connectivity; Neuroscience; Psychology; Surgical planning; Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002447236,0.001140741,0.003635361,0.000526187,0.0006226139,0.0003665445,0.000865903,0.001017844,0.00004044801],"category_scores_gemma":[0.0141894,0.000913289,0.002447853,0.001700682,0.002403453,0.000404017,0.001044109,0.005058941,0.0002102292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009796004,"about_ca_system_score_gemma":0.0006874623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004022598,"about_ca_topic_score_gemma":0.000003408391,"domain_scores_codex":[0.9896973,0.002466072,0.002448995,0.003777063,0.0007118849,0.0008987089],"domain_scores_gemma":[0.9638769,0.03349392,0.000803366,0.001149299,0.0001677591,0.0005087606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001029353,0.0005936424,0.0004750421,0.002561273,0.0002982046,0.0009148989,0.0001307515,1.783231e-7,0.000003267325,0.004344456,0.006785058,0.9837903],"study_design_scores_gemma":[0.0005190859,0.0006875381,0.0009991367,0.0007553536,0.00106202,0.001140344,0.000127049,0.00002452041,0.000001775593,0.0005772228,0.9933262,0.0007797729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007422055,0.9878601,0.0001316379,0.00223512,0.002466612,0.002139141,0.0002117927,0.0006993109,0.003514114],"genre_scores_gemma":[0.0007544381,0.9907779,0.000200231,0.001215879,0.006089893,0.0006243684,0.00002469297,0.0001594802,0.0001531427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9865412,"threshold_uncertainty_score":0.9993318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520736054697386,"score_gpt":0.4486444313231445,"score_spread":0.2965708258534058,"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."}}