{"id":"W4411039992","doi":"10.1038/s41598-025-01882-7","title":"Optimal graph representations and neural networks for multichannel time series data in seizure phase classification","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; McMaster University; University Health Network","funders":"","keywords":"Computer science; Graph; Series (stratigraphy); Artificial neural network; Time series; Epilepsy; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Machine learning; Theoretical computer science; Psychology; Biology","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":[0.001720855,0.001004287,0.0006671266,0.002082584,0.0003785006,0.0009728256,0.000800804,0.0009040449,0.001014673],"category_scores_gemma":[0.008044325,0.0003326341,0.0009351572,0.001736016,0.0007269214,0.001886469,0.0008615961,0.001459102,0.0002733185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118207,"about_ca_system_score_gemma":0.0007468758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008223861,"about_ca_topic_score_gemma":0.008091494,"domain_scores_codex":[0.9992548,0.0003482307,0.00004348417,0.0001888085,0.0001061834,0.00005854856],"domain_scores_gemma":[0.9974689,0.001715739,0.0003114319,0.0002052725,0.00023162,0.00006704983],"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":[0.0001406669,0.0001122267,0.003421359,0.0001224876,0.00008938288,0.00009561995,0.0001003053,0.7981207,0.001935642,0.01853234,0.001698067,0.1756312],"study_design_scores_gemma":[0.000002870048,0.00001512652,0.0003927733,0.000006605741,0.000005966384,0.00001088132,0.0000127826,0.9875705,0.0002338481,0.01150213,0.0002410185,0.00000555213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07239114,0.001355713,0.9230577,0.0007591738,0.00007103549,0.00008034935,0.0004821483,0.0007141014,0.001088542],"genre_scores_gemma":[0.7348738,0.001320341,0.2597485,0.0001757086,0.0001193164,0.0001775462,0.00162411,0.0001512679,0.001809417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008223861,"threshold_uncertainty_score":0.016352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819865095620828,"score_gpt":0.3498386083877089,"score_spread":0.2916399574315006,"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."}}