{"id":"W2140992555","doi":"10.1109/iembs.2008.4649302","title":"A novel dual-stage classifier for automatic detection of epileptic seizures","year":2008,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Classifier (UML); Computer science; Pattern recognition (psychology); Artificial intelligence; Electroencephalography; Feature extraction; False positive rate; Epileptic seizure; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009683684,0.0005847672,0.0008675349,0.0009246066,0.0004005629,0.0007249107,0.001059684,0.001425187,0.001682472],"category_scores_gemma":[0.002048528,0.0003874711,0.0005668452,0.0005050328,0.0002108135,0.001069633,0.0005495394,0.0008170927,0.001239596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455919,"about_ca_system_score_gemma":0.0007415497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263224,"about_ca_topic_score_gemma":0.002252288,"domain_scores_codex":[0.9992319,0.0001136705,0.00006864836,0.0001643581,0.0003154688,0.0001059897],"domain_scores_gemma":[0.9989257,0.0004259342,0.00005824081,0.00008124151,0.0004570112,0.0000517965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008552653,0.0004514782,0.004759778,0.000189705,0.0000905515,0.0002444611,0.00008001574,0.009725924,0.2052573,0.001517577,0.004818968,0.7720091],"study_design_scores_gemma":[0.000139542,0.001027152,0.008353853,0.0000258873,0.0001244947,0.001184108,0.00002731038,0.8757594,0.1051935,0.0009907529,0.007081994,0.00009201014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06646321,0.0006848157,0.928505,0.0002191317,0.000212504,0.0002639324,0.0002896735,0.002058871,0.001302944],"genre_scores_gemma":[0.3053278,0.0003482564,0.6870775,0.0002633804,0.0001568054,0.000348189,0.0008137329,0.00007191456,0.005592357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001682472,"threshold_uncertainty_score":0.005628407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06712253929532926,"score_gpt":0.2885194974989104,"score_spread":0.2213969582035811,"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."}}