{"id":"W4403854868","doi":"10.1101/2024.10.29.620811","title":"Ictal-Related Chirp as a Biomarker for Monitoring Seizure Progression","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University Health Network","funders":"","keywords":"Ictal; Chirp; Epilepsy; Biomarker; Medicine; Epileptic seizure; Electroencephalography; Neuroscience; Psychology; Biology; Biochemistry; Physics; Optics","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":[0.0002534387,0.0003299136,0.0002495105,0.001082128,0.00009367762,0.0003199351,0.0001349607,0.0001991915,0.001010214],"category_scores_gemma":[0.0008010269,0.00006384612,0.0001505999,0.0005781176,0.0001334842,0.0001960026,0.0002267485,0.00028512,0.0003208787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009093003,"about_ca_system_score_gemma":0.0001312439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006639143,"about_ca_topic_score_gemma":0.001296094,"domain_scores_codex":[0.9998974,0.00001647554,0.00001052417,0.00002991666,0.0000300919,0.00001565032],"domain_scores_gemma":[0.9995413,0.0001367235,0.0001454681,0.00005227498,0.00008302243,0.00004117476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001470742,0.00026827,0.260589,0.0005051774,0.0002830992,0.0006768394,0.000116021,0.008621393,0.558547,0.000506604,0.004780814,0.163635],"study_design_scores_gemma":[0.00003296051,0.0006641975,0.824887,0.00006292872,0.0001932059,0.001628303,0.0001778094,0.06568981,0.1003773,0.001395677,0.004841519,0.00004934731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724557,0.001017743,0.01839424,0.000129463,0.00003100152,0.00004684306,0.005167786,0.0008038654,0.001953414],"genre_scores_gemma":[0.9845126,0.0005607654,0.00873922,0.00005312262,0.00003294997,0.00004082947,0.005048401,0.00005542527,0.0009566491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001082128,"threshold_uncertainty_score":0.003379464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630644748372193,"score_gpt":0.2851366941578751,"score_spread":0.2588302466741532,"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."}}