{"id":"W4411329018","doi":"10.1002/ana.27278","title":"Visual Features in Stereo‐Electroencephalography to Predict Surgical Outcome: A Multicenter Study","year":2025,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital; Savoy Foundation","keywords":"Stereoelectroencephalography; Inter-rater reliability; Receiver operating characteristic; Gold standard (test); Epilepsy; Kappa; Reliability (semiconductor); Electroencephalography; Epilepsy surgery; Predictive value of tests; Medicine; Nuclear medicine; Psychology; Radiology; Statistics; Pathology; Mathematics; Internal medicine; Psychiatry","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":[0.004547616,0.0007269831,0.0004685004,0.0006722808,0.0003157342,0.0006496369,0.0005267313,0.000600127,0.0008518403],"category_scores_gemma":[0.0106764,0.0002558732,0.0007255048,0.0006718186,0.0004986317,0.000706449,0.0007886273,0.0003966503,0.0004897644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855748,"about_ca_system_score_gemma":0.0003635001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104763,"about_ca_topic_score_gemma":0.0009244767,"domain_scores_codex":[0.9978405,0.001054972,0.0001662703,0.0004616143,0.0003443289,0.0001322461],"domain_scores_gemma":[0.9931779,0.001735606,0.002490547,0.001093917,0.001072756,0.0004291516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002353875,0.000303732,0.9880636,0.00003590253,0.0003559305,0.0001130032,0.0002474111,0.0002520814,0.0008799252,0.00002284495,0.0002182667,0.007153329],"study_design_scores_gemma":[0.000253068,0.002056841,0.994402,0.00002331489,0.0001780293,0.000469567,0.0002330961,0.001444031,0.0005406379,0.00004868168,0.0003320656,0.00001879976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991351,0.00008361007,0.0003367631,0.0000164151,0.000004828992,0.00005270527,0.000197542,0.000004893367,0.0001681264],"genre_scores_gemma":[0.9990926,0.00004202857,0.0002595116,0.00001869767,0.00001373818,0.00005641837,0.0004604351,0.00000537395,0.00005122905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004547616,"threshold_uncertainty_score":0.02405035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092451417706396,"score_gpt":0.4222166880455532,"score_spread":0.3812921738684892,"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."}}