{"id":"W4408040876","doi":"10.18280/ts.420114","title":"Effectiveness of Multi Input Data and a Novel CNN Model for Epilepsy Classification","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Epilepsy; Computer science; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007423565,0.001123289,0.0005380458,0.0005445085,0.0002512074,0.0008189127,0.0006619242,0.0009469168,0.001696451],"category_scores_gemma":[0.001554935,0.0002149648,0.0005688687,0.0004030201,0.0001856027,0.001022302,0.0005952882,0.000627685,0.0004848729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005967015,"about_ca_system_score_gemma":0.0007040559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008913498,"about_ca_topic_score_gemma":0.01022129,"domain_scores_codex":[0.9997162,0.00004291139,0.00001733668,0.00008062377,0.0000780514,0.00006484731],"domain_scores_gemma":[0.9995618,0.0001405329,0.00003244631,0.00006429236,0.0001734198,0.00002758266],"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":[0.0007683822,0.0003946069,0.01103825,0.0002414584,0.0003446477,0.0004007798,0.00006156858,0.1909986,0.06864255,0.002259432,0.006869893,0.7179799],"study_design_scores_gemma":[0.000008929107,0.00006733879,0.00231883,0.0000128774,0.00006687398,0.00009272269,0.0000145363,0.9837006,0.01254276,0.0005146352,0.0006506558,0.000009214428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5329566,0.005261685,0.4424461,0.001885432,0.0008316846,0.0001411344,0.00139355,0.002974401,0.01210933],"genre_scores_gemma":[0.9543441,0.0005388221,0.03993432,0.0001601012,0.0001043723,0.00003746536,0.0007695339,0.00005525985,0.004055962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008913498,"threshold_uncertainty_score":0.0177232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247727598836317,"score_gpt":0.3334797254940197,"score_spread":0.2087069656103879,"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."}}