{"id":"W2101383962","doi":"10.1016/j.clinph.2009.07.002","title":"A fuzzy rule-based system for epileptic seizure detection in intracranial EEG","year":2009,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":159,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electroencephalography; Epilepsy; Epileptic seizure; Computer science; Pattern recognition (psychology); Medicine; Neuroscience; Artificial intelligence; Psychology","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":[0.0002306407,0.0002037137,0.0004806699,0.0001057896,0.00009891979,0.00003200757,0.0004000255,0.0002252005,0.000004930819],"category_scores_gemma":[0.001230103,0.0001744083,0.0002225145,0.0002357677,0.0001780564,0.00007603148,0.00004337716,0.0004838934,0.00009275203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002851123,"about_ca_system_score_gemma":0.00004215768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003148983,"about_ca_topic_score_gemma":0.000003135789,"domain_scores_codex":[0.997216,0.0007056606,0.0007439632,0.0008095724,0.0001039081,0.0004208871],"domain_scores_gemma":[0.9969734,0.002360932,0.0001775881,0.0003413155,0.00003987325,0.0001068996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001018347,0.0003826103,0.00005726417,0.00005121364,0.000002534233,0.0001317166,0.00001692539,0.0008731965,0.9438344,0.0004384931,0.00008331316,0.05311003],"study_design_scores_gemma":[0.01639182,0.03234134,0.268911,0.0003934774,0.00009448017,0.0003242086,0.00006082443,0.2718792,0.3847288,0.01877136,0.004316086,0.001787399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943486,0.000005197796,0.001873909,0.0007799186,0.002142659,0.000461227,0.00001148578,0.0001868711,0.0001900723],"genre_scores_gemma":[0.9935272,0.000005142585,0.0003572015,0.005484867,0.0005500466,0.00002790463,0.000002224404,0.00001910759,0.00002634436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5591056,"threshold_uncertainty_score":0.7112165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120006658949445,"score_gpt":0.328980117532068,"score_spread":0.2877800509425736,"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."}}