{"id":"W4417304748","doi":"10.1002/epi.70057","title":"Cardiorespiratory cross‐frequency coupling biomarker for sudden unexpected death in epilepsy","year":2025,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; University of Toronto; Finding A Cure for Epilepsy and Seizures","keywords":"Cardiorespiratory fitness; Epilepsy; Biomarker; Cardiorespiratory arrest; Ictal; Sudden death; Wearable computer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004986511,0.0004053614,0.0002651663,0.0006553709,0.0001518637,0.000395913,0.0001581078,0.0002668475,0.001189922],"category_scores_gemma":[0.001786754,0.00007325198,0.0002664319,0.0004441839,0.0001596039,0.0002195308,0.0003856029,0.0002639005,0.0001864247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044533,"about_ca_system_score_gemma":0.000123694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005332095,"about_ca_topic_score_gemma":0.001001512,"domain_scores_codex":[0.9998522,0.00003269052,0.00003044674,0.0000314149,0.00003055393,0.00002279669],"domain_scores_gemma":[0.9992487,0.0002029954,0.0003486157,0.00002435191,0.00009640512,0.00007896629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003687306,0.00004390936,0.9844359,0.00003551524,0.00009797742,0.0003353604,0.00003625213,0.0003884145,0.00552754,0.00003028219,0.0001273041,0.00857282],"study_design_scores_gemma":[0.000007935333,0.0001864574,0.9963754,0.00001132154,0.0000527143,0.0006839289,0.00007326582,0.001634241,0.0007651172,0.00006844147,0.0001372177,0.000004022839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99844,0.0003276503,0.0006168447,0.00004753222,0.000006226588,0.00001229071,0.0001572217,0.00001231028,0.0003800221],"genre_scores_gemma":[0.9991542,0.000105004,0.0003829301,0.00001522799,0.00001041378,0.000007026163,0.0002267702,0.000001860795,0.00009659505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189922,"threshold_uncertainty_score":0.003980696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027193342776892,"score_gpt":0.3707724580933616,"score_spread":0.3305005246655927,"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."}}