{"id":"W3088387826","doi":"10.1007/978-3-030-43395-6_19","title":"Machine Intelligence-Based Epileptic Seizure Forecasting","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Epilepsy; Context (archaeology); Computer science; Artificial intelligence; Machine learning; Epileptic seizure; 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":[0.0002296899,0.0005897128,0.000450628,0.0005845602,0.0001017965,0.000760151,0.0005942879,0.0004349569,0.006131437],"category_scores_gemma":[0.0008787684,0.0001936468,0.0003463003,0.001031465,0.0001805978,0.0009502858,0.0002560091,0.0008057776,0.003282623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394395,"about_ca_system_score_gemma":0.0001709649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489091,"about_ca_topic_score_gemma":0.00177271,"domain_scores_codex":[0.9999347,0.00001018076,0.000004288588,0.00001480137,0.0000308718,0.000005224791],"domain_scores_gemma":[0.9997887,0.0001369382,0.00001038434,0.00001714882,0.00004169659,0.000005090663],"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":[0.00004057117,0.00003730889,0.0004618147,0.0002354325,0.00004542348,0.00008401084,0.00002284465,0.1045366,0.003232198,0.02516023,0.03865577,0.8274878],"study_design_scores_gemma":[0.000005744574,0.00004470588,0.001171335,0.0001718645,0.00003397569,0.0002737241,0.00001962982,0.87177,0.003741523,0.06712611,0.05561787,0.0000236644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009911983,0.04301589,0.8529286,0.002545241,0.002376096,0.00004475856,0.000822745,0.002183934,0.08617075],"genre_scores_gemma":[0.3141649,0.07699499,0.3986274,0.0008997198,0.002918328,0.0001053862,0.002369513,0.000704191,0.2032156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006131437,"threshold_uncertainty_score":0.02051169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08396898947051543,"score_gpt":0.2655461059550772,"score_spread":0.1815771164845618,"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."}}