{"id":"W4213194625","doi":"10.3390/electronics11040605","title":"Deep Learning Models for Predicting Epileptic Seizures Using iEEG Signals","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Epilepsy; Convolutional neural network; Electroencephalography; Artificial intelligence; Transfer of learning; Computer science; Deep learning; Epileptic seizure; Machine learning; Pattern recognition (psychology); 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":[0.0004484383,0.001050276,0.0004190453,0.0005914555,0.0001817129,0.0004137142,0.0005813075,0.000615549,0.001067779],"category_scores_gemma":[0.001227971,0.0002334757,0.0005741647,0.000485741,0.0001456012,0.0005713157,0.0003979319,0.0008690311,0.0003275715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882747,"about_ca_system_score_gemma":0.0006335727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496472,"about_ca_topic_score_gemma":0.01417276,"domain_scores_codex":[0.999868,0.00002334448,0.00001386371,0.00003411352,0.00003067631,0.00003002944],"domain_scores_gemma":[0.9997578,0.000101815,0.00002945739,0.000016037,0.00008359743,0.00001133137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001552734,0.0002013755,0.005239688,0.00006775698,0.0001128206,0.0001069801,0.00002742527,0.8100941,0.005677023,0.0007589219,0.00214202,0.1754166],"study_design_scores_gemma":[0.000002491222,0.00001655818,0.0004595924,0.000004802524,0.000007613266,0.000007013837,0.00000326479,0.998353,0.000764699,0.0002518682,0.0001264668,0.000002651642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3848337,0.004054391,0.6004696,0.0008694361,0.0003218488,0.0001460463,0.001249488,0.00334441,0.004711146],"genre_scores_gemma":[0.9595946,0.0007353983,0.03536926,0.0001099184,0.00004860725,0.00007689475,0.001060233,0.00003629079,0.002968859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01496472,"threshold_uncertainty_score":0.02975523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386123311823762,"score_gpt":0.2821266210245931,"score_spread":0.2382653879063555,"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."}}