{"id":"W2323606515","doi":"10.1097/wnp.0b013e318246af3e","title":"Detection of Epileptic Seizures in Scalp Electroencephalogram","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Epilepsy; Electroencephalography; Temporal lobe; Scalp; Epileptic seizure; Computer science; Audiology; Pattern recognition (psychology); Anesthesia; Medicine; Artificial intelligence; Surgery; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005897842,0.0001109463,0.0005574151,0.0001595612,0.00002391081,0.000007587125,0.0003539253,0.0001127338,0.00001906618],"category_scores_gemma":[0.002814913,0.00008070368,0.0002539554,0.0002472845,0.0002645132,0.0002179712,0.00006844824,0.0007258474,0.00001166943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009622803,"about_ca_system_score_gemma":0.00003488221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000295725,"about_ca_topic_score_gemma":0.00000136133,"domain_scores_codex":[0.9969767,0.001035671,0.001308951,0.0001753688,0.0001803104,0.0003229558],"domain_scores_gemma":[0.9967505,0.002120141,0.0007798813,0.0001528563,0.0000685408,0.0001280998],"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":[0.0003727633,0.0005079852,0.005785577,0.00001147652,0.000006690478,0.00003898637,0.00004382715,0.0001974507,0.9723862,0.00007283538,0.00005079525,0.02052543],"study_design_scores_gemma":[0.001301528,0.007053917,0.6283507,0.00005313172,0.00002572086,0.0005757169,0.0000178324,0.001391476,0.357628,0.001495769,0.001941671,0.0001645579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997282,0.00007184962,0.0004132066,0.0001791781,0.001898332,0.00005834954,6.840791e-7,0.00000857094,0.00008778351],"genre_scores_gemma":[0.9979204,0.0001974098,0.0002369971,0.0009005386,0.0007204177,7.856524e-7,6.349239e-8,0.000009794012,0.00001357962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6225652,"threshold_uncertainty_score":0.3369917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976087220499543,"score_gpt":0.376219926366671,"score_spread":0.3164590541616756,"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."}}