{"id":"W4379515771","doi":"10.1101/2023.06.02.543277","title":"Graph representations of iEEG data for seizure detection with graph neural networks","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University Health Network","funders":"","keywords":"Computer science; Neuroimaging; Leverage (statistics); Graph; Epilepsy; Artificial intelligence; Power graph analysis; Machine learning; Neuroscience; Pattern recognition (psychology); Psychology; Theoretical computer science","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":[0.0007503894,0.001322413,0.0005048205,0.002827227,0.0003168583,0.0008086367,0.0009764206,0.000785508,0.002951351],"category_scores_gemma":[0.006347006,0.0003542517,0.001171373,0.001792676,0.000329778,0.001113312,0.0006394894,0.001114638,0.0007720919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019737,"about_ca_system_score_gemma":0.0006887685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166606,"about_ca_topic_score_gemma":0.01396981,"domain_scores_codex":[0.9995965,0.0001169483,0.00003361993,0.0001199488,0.00009501754,0.0000380182],"domain_scores_gemma":[0.9979941,0.001143794,0.0002185368,0.0002378624,0.0003562536,0.0000494969],"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":[0.0004579888,0.0002864821,0.007372029,0.0003211953,0.0002660973,0.0003126413,0.0001289016,0.632225,0.01124067,0.004465285,0.01020639,0.3327172],"study_design_scores_gemma":[0.000007546892,0.00002519105,0.000697888,0.000007367107,0.00001207454,0.00002005527,0.00001563013,0.9939453,0.001495995,0.003217735,0.0005485784,0.000006586674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1341001,0.0006310694,0.839082,0.0008755683,0.000176429,0.00037785,0.007182666,0.01591748,0.001656777],"genre_scores_gemma":[0.5892094,0.0003253977,0.3939299,0.0001711396,0.00006020762,0.000341063,0.01415098,0.0004113726,0.0014006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166606,"threshold_uncertainty_score":0.02319634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502478647350282,"score_gpt":0.2978899876704775,"score_spread":0.2528652011969747,"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."}}