{"id":"W3209398659","doi":"10.82308/46880","title":"Adaptive control of epileptic seizures using reinforcement learning","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement; Epilepsy; Psychology; Reinforcement learning; Control (management); Cognitive psychology; Neuroscience; Computer science; Artificial intelligence; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007221765,0.0005630138,0.000544413,0.0002047438,0.0001985244,0.0004001706,0.0006169187,0.0004439274,0.001142771],"category_scores_gemma":[0.001939694,0.0001988503,0.0003192127,0.0001356529,0.0007864427,0.0003941177,0.000529588,0.0006981402,0.000149217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659483,"about_ca_system_score_gemma":0.0005270611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190694,"about_ca_topic_score_gemma":0.001948403,"domain_scores_codex":[0.9997788,0.00006874307,0.00001343989,0.00004831396,0.00006045169,0.00003023918],"domain_scores_gemma":[0.9993475,0.0004173835,0.0001070907,0.00003096669,0.00007404172,0.00002298838],"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":[0.00004996689,0.00005436391,0.000314392,0.00004297206,0.00003241463,0.00004291743,0.00004007844,0.9446831,0.003979221,0.009564445,0.0003444777,0.04085166],"study_design_scores_gemma":[0.00001347779,0.00003291972,0.00005130382,0.000002644633,0.000003149722,0.000007082861,0.000001831912,0.9970151,0.0004516449,0.002170394,0.0002473014,0.000003072226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02531609,0.0001875737,0.9712729,0.0001754479,0.00003717037,0.00003878521,0.00001128796,0.0002484533,0.002712352],"genre_scores_gemma":[0.9210641,0.0001860751,0.07636708,0.00008860835,0.00004309782,0.0001261228,0.00002365862,0.0000303138,0.002070917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002190694,"threshold_uncertainty_score":0.004355907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939945097830273,"score_gpt":0.2553498254545142,"score_spread":0.2259503744762115,"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."}}