{"id":"W4413318198","doi":"10.1080/23311916.2025.2547636","title":"FCEEG: federated learning-based seizure diagnosis through electroencephalogram (EEG) analysis","year":2025,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Electroencephalography; Computer science; Artificial intelligence; Speech recognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009922327,0.0002397316,0.0002903654,0.0003062987,0.0001867537,0.0002103819,0.0003086528,0.00008302301,0.0000693904],"category_scores_gemma":[0.0003527148,0.0002325898,0.0002039635,0.002053818,0.00003240311,0.0001288918,0.00006969021,0.0003220807,0.00001601472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008069882,"about_ca_system_score_gemma":0.00003833165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001658911,"about_ca_topic_score_gemma":0.000008578383,"domain_scores_codex":[0.998518,0.00006696355,0.0002524886,0.0005126916,0.0002030174,0.0004468162],"domain_scores_gemma":[0.9992608,0.0003648647,0.00005484266,0.0002083624,0.0000466128,0.00006445315],"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":[0.00001410604,0.0001158466,0.007167499,0.00006295359,0.0002427465,0.00004861219,0.0001451113,0.8753959,0.1134137,0.0004209103,0.0009379549,0.002034628],"study_design_scores_gemma":[0.0002483047,0.00007934694,0.0009621637,0.00005898039,0.0001603031,0.00000239644,0.00001986416,0.5435289,0.4275874,0.00001454705,0.02710276,0.0002351015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5174435,0.0005989239,0.4793943,0.0006677253,0.0004138369,0.0002168372,0.000006240407,0.0007035264,0.0005552002],"genre_scores_gemma":[0.9977466,0.00006506761,0.0009770739,0.0006967941,0.00003592363,0.00008006727,0.00001170208,0.00001916257,0.0003675672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4803032,"threshold_uncertainty_score":0.9484738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329316272106006,"score_gpt":0.2570332454740792,"score_spread":0.2437400827530191,"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."}}