{"id":"W1971386783","doi":"10.1016/s1388-2457(03)00035-x","title":"Wavelet based automatic seizure detection in intracerebral electroencephalogram","year":2003,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":318,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Electroencephalography; False alarm; Epilepsy; Sensitivity (control systems); Pattern recognition (psychology); False positive rate; Computer science; Artificial intelligence; 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":[0.0003174691,0.0002872882,0.0002494332,0.0007454296,0.00009697973,0.0003550114,0.0001999532,0.0003323013,0.0008826459],"category_scores_gemma":[0.001276584,0.0001119937,0.0002314504,0.0004765861,0.0001234459,0.0004189384,0.0002277282,0.0002556284,0.0003552332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007790698,"about_ca_system_score_gemma":0.0001170762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569122,"about_ca_topic_score_gemma":0.0007245133,"domain_scores_codex":[0.9998676,0.00003426296,0.00001162455,0.00001673472,0.00005141911,0.0000184189],"domain_scores_gemma":[0.9996716,0.0001872685,0.00002184688,0.00002071147,0.00008186063,0.00001674782],"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":[0.001165937,0.00008997582,0.004395116,0.0002244502,0.0000556708,0.0002814842,0.00008412133,0.006501317,0.3594062,0.001535314,0.001521122,0.6247393],"study_design_scores_gemma":[0.00007688499,0.0004113264,0.05870699,0.00004752716,0.0001901614,0.001953408,0.0001005968,0.695509,0.2370544,0.002385417,0.003517283,0.0000470489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4065914,0.001210379,0.5887398,0.0001672786,0.0001476516,0.00004149339,0.0003156438,0.0006124123,0.00217386],"genre_scores_gemma":[0.8612604,0.0007980778,0.1350564,0.00005432247,0.00009168241,0.00002689083,0.0004228797,0.00008227016,0.002207098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008826459,"threshold_uncertainty_score":0.002952754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664184428685332,"score_gpt":0.3255735857795775,"score_spread":0.2889317414927242,"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."}}