{"id":"W4416386094","doi":"10.1101/2025.11.18.689161","title":"Association between white-matter lesion volume and heart-rate variability: A comparison of T1, T1-T2 and T1-FLAIR-based segmentations using FreeSurfer SAMSEG","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Heart rate variability; Disease; Lesion; Heart rate; Heart disease; Cognition; Risk factor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001376,0.0005364185,0.0005315532,0.00194284,0.0002834744,0.001079928,0.0003270722,0.0006417331,0.001186467],"category_scores_gemma":[0.002409993,0.0002164673,0.0005213997,0.0007338231,0.0002489466,0.0005165969,0.0005260489,0.0003293225,0.0004118198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178159,"about_ca_system_score_gemma":0.00020539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589141,"about_ca_topic_score_gemma":0.006346465,"domain_scores_codex":[0.9998236,0.00003326294,0.00002002525,0.00007456121,0.00002560286,0.00002290334],"domain_scores_gemma":[0.9993972,0.000239507,0.0001303262,0.00008032096,0.00009462867,0.00005804517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01009505,0.0003967547,0.5950415,0.001007913,0.004831274,0.001311464,0.002430377,0.03227635,0.1292631,0.001342484,0.007707487,0.2142963],"study_design_scores_gemma":[0.00007851531,0.0006090634,0.8791111,0.0001369197,0.0008271192,0.001589335,0.000792385,0.09098751,0.02001172,0.002119249,0.003586177,0.000150897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877557,0.0007796535,0.008309969,0.00006352892,0.00002742448,0.00002354065,0.002121768,0.0003724761,0.0005459794],"genre_scores_gemma":[0.9861623,0.0002566834,0.008540453,0.00003160228,0.00003806626,0.00004381291,0.004230628,0.0002264247,0.0004699543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003589141,"threshold_uncertainty_score":0.007136524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296457930230721,"score_gpt":0.3092088041422978,"score_spread":0.2795630111192257,"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."}}