{"id":"W2892152156","doi":"10.1109/icassp.2018.8462029","title":"Robust Detection of Epileptic Seizures Using Deep Neural Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electroencephalography; Computer science; Epileptic seizure; Artificial intelligence; Pattern recognition (psychology); Noise (video); Artificial neural network; Epilepsy; Speech recognition; Robustness (evolution); Neuroscience; Psychology; Image (mathematics)","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":[0.00007600721,0.00008838486,0.0001027485,0.00005793374,0.0001095641,0.00004046326,0.0001711698,0.00004692706,0.00009613539],"category_scores_gemma":[0.00006099515,0.00007053773,0.00004315735,0.0002004536,0.000159256,0.0001506438,0.000072614,0.00008692877,0.000009820029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001250565,"about_ca_system_score_gemma":0.000004428332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004683307,"about_ca_topic_score_gemma":0.00006970487,"domain_scores_codex":[0.9992252,0.00007019046,0.0001681529,0.0002278513,0.0001132579,0.0001953544],"domain_scores_gemma":[0.9995791,0.0001152861,0.00007101385,0.0001558161,0.00003968132,0.0000391422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003310711,0.00003686858,0.0002769081,0.00001016154,0.000003907799,0.000006210464,0.0001965165,0.07980397,0.8978057,0.000125377,0.00006985036,0.02163142],"study_design_scores_gemma":[0.00006197883,0.0001106484,0.0002017079,0.000005065853,0.000003355583,0.00003787594,0.00001596472,0.6035824,0.3958648,0.00003218598,0.00003287408,0.00005120533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194882,0.00001369118,0.2788833,0.00002315174,0.0005957511,0.00005661192,3.050628e-7,0.00005748948,0.0008815036],"genre_scores_gemma":[0.9980927,0.000001331049,0.001068483,0.0004178321,0.0003089533,8.818589e-7,1.031528e-7,0.000009414333,0.0001003356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5237784,"threshold_uncertainty_score":0.2876445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05464397337161771,"score_gpt":0.2723836313705653,"score_spread":0.2177396579989476,"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."}}