{"id":"W4292874177","doi":"10.1109/memea54994.2022.9856458","title":"Epileptic Seizure Detection Using Convolution Neural Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Epilepsy; Convolution (computer science); Computer science; Artificial neural network; Pattern recognition (psychology); Artificial intelligence; Population; Electroencephalography; Scalp; Convolutional neural network; Epileptic seizure; Neuroscience; Psychology; Medicine","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":[0.0004614598,0.0003630202,0.0003651736,0.0005738662,0.000182539,0.0004002448,0.000324736,0.0003448139,0.0008736828],"category_scores_gemma":[0.001453893,0.0001515888,0.0002822616,0.0004747597,0.0001630335,0.0004400256,0.0003092946,0.0003104915,0.000241978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344967,"about_ca_system_score_gemma":0.0003233656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003908109,"about_ca_topic_score_gemma":0.003359264,"domain_scores_codex":[0.9997484,0.00005354462,0.00002263532,0.0000554973,0.0000841927,0.0000357721],"domain_scores_gemma":[0.9996991,0.0001482918,0.00003293502,0.00002382909,0.00008604959,0.000009843647],"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":[0.0005683074,0.0002011169,0.007529568,0.00009395937,0.0001258741,0.0002168536,0.00008803901,0.2119405,0.05769685,0.002353364,0.001496213,0.7176893],"study_design_scores_gemma":[0.000004388483,0.00004746592,0.002058831,0.000004876341,0.00001082519,0.00007309949,0.000009172644,0.9880822,0.008796788,0.0004692187,0.0004374615,0.0000057504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2482493,0.0006746182,0.7460472,0.0001901943,0.00006207213,0.00006818063,0.0001485688,0.001775564,0.002784258],"genre_scores_gemma":[0.877992,0.0003213273,0.1188548,0.00005839323,0.00002512415,0.00004187892,0.0002314012,0.0000293929,0.002445744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003908109,"threshold_uncertainty_score":0.007770717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316991573580523,"score_gpt":0.3031245750167617,"score_spread":0.2499546592809565,"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."}}