{"id":"W4285111878","doi":"10.1109/access.2022.3176367","title":"An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"U.S. Department of Commerce","keywords":"Computer science; Artificial intelligence; Deep learning; Electroencephalography; Epileptic seizure; Classifier (UML); Pattern recognition (psychology); Artificial neural network; Machine learning","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":[0.0003822987,0.0001420191,0.0001631656,0.000113956,0.0007191615,0.0004093461,0.001871052,0.00004339036,0.0001771029],"category_scores_gemma":[0.0001319807,0.0001415101,0.00004145668,0.0002759028,0.000050495,0.001812894,0.0006628839,0.0003733775,0.00000491328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007369308,"about_ca_system_score_gemma":0.00004387404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000405454,"about_ca_topic_score_gemma":0.00001187639,"domain_scores_codex":[0.9981994,0.0002538282,0.0002407744,0.0007061722,0.0002734882,0.0003263592],"domain_scores_gemma":[0.9988967,0.0002440051,0.0001404486,0.0006149724,0.00003124292,0.00007258468],"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":[0.0001991763,0.0002716134,0.00564461,0.00008950698,0.00002790898,0.00002922848,0.00151045,0.2518361,0.7095556,0.0001063606,0.005134468,0.02559492],"study_design_scores_gemma":[0.000285522,0.0002288473,0.0002889395,0.00001890006,0.00002402807,0.0000539998,0.000190384,0.9487165,0.03543514,0.0001946575,0.01439544,0.0001676807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322565,0.00003541497,0.1642541,0.00009080176,0.002323327,0.0003358179,0.0001678384,0.0001921123,0.0003441496],"genre_scores_gemma":[0.9980245,0.000004312132,0.0005935939,0.0006793022,0.0002515438,0.00004825129,0.00005088786,0.00003324515,0.0003144127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6968803,"threshold_uncertainty_score":0.5770613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301660978695224,"score_gpt":0.3729569014518458,"score_spread":0.2427908035823234,"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."}}