{"id":"W3013779146","doi":"10.18280/ts.370108","title":"A Novel Geometrical Method for Discrimination of Normal, Interictal and Ictal EEG Signals","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ictal; Electroencephalography; Pattern recognition (psychology); Neuroscience; Speech recognition; Computer science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002382236,0.0001541845,0.0002376599,0.0001281132,0.0000685202,0.00006455778,0.0002264266,0.00004225051,0.0001144451],"category_scores_gemma":[0.0002034789,0.0001313075,0.00009615279,0.0002866506,0.00007796657,0.0002274288,0.0001166613,0.00008919086,0.000002672741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568978,"about_ca_system_score_gemma":0.0000187966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009019916,"about_ca_topic_score_gemma":0.000001079787,"domain_scores_codex":[0.9986739,0.00006279811,0.000379942,0.0003797921,0.0002836187,0.0002200111],"domain_scores_gemma":[0.9990299,0.0005995372,0.0001382889,0.0000625629,0.00004953451,0.0001201431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001521583,0.0001799524,0.00005605981,0.000110027,0.00001458365,0.000002403719,0.001524982,0.0001458643,0.9778565,0.001060569,0.0006600904,0.01823677],"study_design_scores_gemma":[0.001421601,0.00166645,0.0009880065,0.00003736409,0.0000373515,0.00002308553,0.0002357809,0.1835227,0.8094183,0.00009623681,0.002349092,0.0002041243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2953588,0.00002349913,0.7027184,0.00112318,0.00006946007,0.0003259438,0.0001033161,0.00003616491,0.0002412265],"genre_scores_gemma":[0.9770109,0.000004315761,0.02158525,0.001210828,0.0001037783,0.00002892844,0.000006594912,0.00001372766,0.00003564661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6816521,"threshold_uncertainty_score":0.5354564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893500018187225,"score_gpt":0.3150075925049792,"score_spread":0.246072592323107,"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."}}