{"id":"W4417337285","doi":"10.1109/iccubea65967.2025.11284040","title":"Smart Epilepsy Monitoring System Using Iot Sensors and Ml Algorithms","year":2025,"lang":"","type":"article","venue":"","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":"ALARM; Wearable computer; Internet of Things; Microcontroller; Epilepsy; Cloud computing; Arduino; Wearable technology","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":[0.0002643812,0.0005139837,0.0006345299,0.0007685196,0.0003165151,0.0008133841,0.0006055087,0.000515318,0.003695163],"category_scores_gemma":[0.0005240106,0.0002160491,0.0003841681,0.0005307505,0.0001423049,0.0009287365,0.0004290391,0.0003065738,0.001302176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334901,"about_ca_system_score_gemma":0.0002922247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110503,"about_ca_topic_score_gemma":0.001058558,"domain_scores_codex":[0.9996742,0.00004029161,0.00003767878,0.000101131,0.0001181058,0.00002866683],"domain_scores_gemma":[0.9998088,0.00003980519,0.00003214243,0.00002412887,0.000079481,0.00001560466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001165788,0.0005995031,0.01622052,0.0005954206,0.0002993789,0.0009984464,0.0002255264,0.08675568,0.08731042,0.004283473,0.02145273,0.780093],"study_design_scores_gemma":[0.0001647478,0.0005027394,0.0078266,0.00006985808,0.0001302634,0.0007453121,0.00006132235,0.94337,0.02892411,0.003264441,0.01487626,0.00006436832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337858,0.002742575,0.8057419,0.00150764,0.0007257577,0.0005026137,0.001398422,0.02225723,0.031338],"genre_scores_gemma":[0.887634,0.0008071973,0.1005813,0.0007657941,0.0001865988,0.000294341,0.0009722034,0.0001343671,0.008624312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003695163,"threshold_uncertainty_score":0.01236153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782069651839826,"score_gpt":0.3004560289316068,"score_spread":0.2626353324132086,"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."}}