{"id":"W4206383743","doi":"10.36939/ir.202201121150","title":"Automated Deep Neural Network Approach for Detection of Epileptic Seizures","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Electroencephalography; Ictal; Epileptic seizure; Computer science; Epilepsy; Artificial intelligence; Artificial neural network; Deep learning; Pattern recognition (psychology); Process (computing); Machine learning; Psychology; Neuroscience","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":[0.0003122274,0.000661449,0.000337853,0.0007075075,0.0001918051,0.0005042374,0.0003770293,0.0004849729,0.002375105],"category_scores_gemma":[0.0006171172,0.000204802,0.0004267356,0.000457879,0.0001324954,0.0004785499,0.0003661729,0.0006035889,0.0007207106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360564,"about_ca_system_score_gemma":0.000554058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376883,"about_ca_topic_score_gemma":0.004031606,"domain_scores_codex":[0.999828,0.00003180682,0.00001032842,0.00004839427,0.00005006808,0.00003139192],"domain_scores_gemma":[0.999869,0.00004258883,0.0000173814,0.00001278204,0.0000514495,0.000006695644],"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":[0.0001447513,0.0001654077,0.002476452,0.0001666684,0.00007309605,0.0001714415,0.00009277866,0.1821364,0.03043184,0.006140298,0.006239606,0.7717612],"study_design_scores_gemma":[0.000007064441,0.00005212742,0.001919661,0.00002355306,0.00001842479,0.00006538343,0.00002776467,0.98193,0.009110556,0.00357455,0.00326049,0.00001052145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.108354,0.003380227,0.8694927,0.0007818912,0.0002180784,0.0001602834,0.0007047414,0.002165911,0.0147422],"genre_scores_gemma":[0.727375,0.002448411,0.2423283,0.0002128749,0.0001314617,0.0001844773,0.001361493,0.0001202703,0.0258379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002376883,"threshold_uncertainty_score":0.007945478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344789847627792,"score_gpt":0.2833235450694295,"score_spread":0.2598756465931516,"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."}}