{"id":"W2769395319","doi":"10.2316/journal.201.2017.4.201-2853","title":"AUTOMATED PATIENT-SPECIFIC SEIZURE DETECTION SYSTEM WITH SELF-PARAMETERS ADAPTATION","year":2017,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Computer science; Psychology; Medicine; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001893742,0.0001906085,0.0002299385,0.00008438269,0.0008320137,0.0005919091,0.0001760027,0.00009365606,0.000002760838],"category_scores_gemma":[0.00008594595,0.0001475875,0.00004631634,0.00008780273,0.0001015132,0.0003294362,0.00001594649,0.000131925,0.00008634972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320498,"about_ca_system_score_gemma":0.00001834284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008456466,"about_ca_topic_score_gemma":0.00001456222,"domain_scores_codex":[0.9984637,0.0002181445,0.000344044,0.0004649433,0.0002854893,0.0002236625],"domain_scores_gemma":[0.9987211,0.000100697,0.000485556,0.0004699259,0.0001031549,0.0001195749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002033122,0.0004285193,0.001362669,0.0009319798,0.0002339413,0.0001461749,0.005357462,0.00988375,0.7788631,0.01663748,0.000832178,0.1832897],"study_design_scores_gemma":[0.001112279,0.0004770357,0.002077508,0.0001731904,0.00003637812,0.0003477793,0.002661496,0.9161239,0.0666666,0.000006270892,0.01000148,0.000316094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7782189,0.0005886218,0.2069686,0.0002933807,0.004206327,0.002763683,0.00004776049,0.002811235,0.004101447],"genre_scores_gemma":[0.9994631,0.00005307302,0.00003852066,0.00005448162,0.00007678933,0.0001633795,0.000001817702,0.00002306833,0.0001257475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9062402,"threshold_uncertainty_score":0.6399261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136152210640183,"score_gpt":0.2320874005137753,"score_spread":0.2007258784073734,"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."}}