{"id":"W7140641766","doi":"10.1109/bddm68348.2025.11442079","title":"A Hierarchical Wavelet Bispectrum Framework for Automated Seizure Detection","year":2025,"lang":"","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Bishop's University","funders":"","keywords":"Pattern recognition (psychology); Wavelet; Bispectrum; Feature (linguistics); Wavelet transform; Artificial neural network","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":[0.0007161358,0.0007640772,0.0005043749,0.00113554,0.0002218018,0.0005071437,0.0006190307,0.0004294255,0.001747451],"category_scores_gemma":[0.001629922,0.0001966321,0.0006756023,0.000874904,0.0001880515,0.0005864973,0.0006938583,0.0007677791,0.001042173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728077,"about_ca_system_score_gemma":0.0007296368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003849069,"about_ca_topic_score_gemma":0.005745543,"domain_scores_codex":[0.999699,0.00006519796,0.00002150472,0.00006813986,0.0001075936,0.0000386311],"domain_scores_gemma":[0.999739,0.00006949738,0.00003941842,0.00004090972,0.00008938641,0.00002180237],"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":[0.0002749545,0.0001579937,0.002289083,0.0001412474,0.0001515482,0.0002015785,0.00008355662,0.1686023,0.05263448,0.01137546,0.006854355,0.7572334],"study_design_scores_gemma":[0.00001074723,0.0000727402,0.002091091,0.00001462427,0.00002767193,0.0001164995,0.00001770102,0.9833973,0.004963494,0.006630775,0.002639077,0.00001834737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01102522,0.0003310073,0.986439,0.0001088718,0.00002308719,0.00004761071,0.0003379492,0.0009627167,0.0007246299],"genre_scores_gemma":[0.3168107,0.0006322777,0.6775383,0.0001382066,0.00009622855,0.0001923251,0.001849254,0.0002206396,0.002522033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003849069,"threshold_uncertainty_score":0.007653296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017743029835443,"score_gpt":0.3091515460726777,"score_spread":0.2914085162372347,"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."}}