{"id":"W4367186215","doi":"10.21203/rs.3.rs-2852895/v1","title":"Supervised and Unsupervised Deep LearningApproaches for EEG Seizure Prediction","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Electroencephalography; Epilepsy; Artificial intelligence; Epileptic seizure; Computer science; Deep learning; Machine learning; Psychology; Pattern recognition (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":[0.001194348,0.001094791,0.0005548101,0.0006958075,0.0002637898,0.0005899731,0.001126754,0.00077403,0.001735202],"category_scores_gemma":[0.002745864,0.0003786337,0.0006802178,0.0006763084,0.0003654849,0.0010085,0.000893541,0.001731315,0.00050375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007965618,"about_ca_system_score_gemma":0.0008696776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0068713,"about_ca_topic_score_gemma":0.01335702,"domain_scores_codex":[0.9994862,0.0001827073,0.00004198339,0.0001109295,0.0001075798,0.00007057416],"domain_scores_gemma":[0.9985946,0.0007048418,0.0001262852,0.0001914468,0.0003338707,0.00004885072],"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":[0.0002679428,0.0003949494,0.005904108,0.0001329611,0.0001719535,0.0001060249,0.00006912641,0.583911,0.005536211,0.003710222,0.006442261,0.3933532],"study_design_scores_gemma":[0.000003234342,0.00001439869,0.0003908538,0.000003925504,0.000004016316,0.000009236349,0.000004117371,0.9971418,0.0008987825,0.001319746,0.0002067067,0.000003205704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082157,0.001694966,0.8830307,0.0007858845,0.0001483697,0.0001337391,0.0007272757,0.002233822,0.003029465],"genre_scores_gemma":[0.8265098,0.0007767036,0.1638485,0.0002400121,0.0001441212,0.0001778664,0.001750651,0.0001194132,0.006432862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0068713,"threshold_uncertainty_score":0.01366264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070396385671267,"score_gpt":0.3917299354904495,"score_spread":0.1846902969233229,"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."}}