{"id":"W4295431422","doi":"10.1016/j.yebeh.2022.108906","title":"Personalized model to predict seizures based on dynamic and static continuous EEG monitoring data","year":2022,"lang":"en","type":"article","venue":"Epilepsy & Behavior","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Epilepsy; Electroencephalography; Cohort; Medicine; Retrospective cohort study; Recurrent neural network; Artificial intelligence; Machine learning; Computer science; Artificial neural network; Internal medicine; Psychiatry","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":[0.0003777839,0.0006345801,0.0006337596,0.0005965644,0.0001931592,0.0004983736,0.0006510712,0.0006712087,0.001407881],"category_scores_gemma":[0.001209052,0.0002584784,0.0005265845,0.0003807051,0.0001432339,0.0005168969,0.0003385604,0.0007150876,0.0004607218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045518,"about_ca_system_score_gemma":0.000575622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009395799,"about_ca_topic_score_gemma":0.008772343,"domain_scores_codex":[0.9998448,0.00002432699,0.00001013979,0.00006642658,0.00002618998,0.000028038],"domain_scores_gemma":[0.9997402,0.0001211896,0.00002648123,0.00002706111,0.00006700822,0.00001815992],"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":[0.0003525888,0.000227338,0.009057752,0.00004484506,0.0001189383,0.0001952366,0.00004146573,0.8802222,0.00236876,0.0009616663,0.003519339,0.10289],"study_design_scores_gemma":[0.000004314663,0.00001808145,0.0008280061,0.000001811606,0.00001194928,0.00001890522,0.000002887177,0.9983606,0.0001976991,0.0004382436,0.0001149954,0.000002510009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.391895,0.001367909,0.594108,0.001041206,0.0003623477,0.0001320943,0.002760829,0.003854498,0.004478094],"genre_scores_gemma":[0.9841542,0.0001982939,0.01216514,0.0001019689,0.0000536639,0.00005947473,0.0008558551,0.00004219723,0.002369135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009395799,"threshold_uncertainty_score":0.01868224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723566951068926,"score_gpt":0.3272195278046039,"score_spread":0.2699838582939146,"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."}}