{"id":"W4388878643","doi":"10.1109/tits.2023.3333252","title":"Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Heart rate; Heart rate variability; Psychology; Audiology; Physical medicine and rehabilitation; Cardiology; Medicine; Internal medicine; Blood pressure","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007645311,0.0002394859,0.0003465314,0.0003929421,0.0002114581,0.00002537032,0.00008304222,0.0002772448,0.0001105129],"category_scores_gemma":[0.000005589764,0.0002464029,0.000164617,0.0008232892,0.0001025977,0.0001708157,2.164019e-7,0.00035563,0.00004754851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000749676,"about_ca_system_score_gemma":0.00003815941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242912,"about_ca_topic_score_gemma":0.0002466849,"domain_scores_codex":[0.997838,0.0004816749,0.0005957829,0.0004733295,0.0002940136,0.0003172199],"domain_scores_gemma":[0.9989367,0.0003166474,0.000167903,0.0003051933,0.0001660753,0.0001074416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002097303,0.001200515,0.01068476,0.0002586575,0.001718963,0.00002705499,0.01455861,0.5930551,0.2884965,0.001031784,0.00008198402,0.08678872],"study_design_scores_gemma":[0.002585366,0.0009269856,0.118501,0.0006745517,0.0009683378,0.00003047561,0.003396703,0.03173395,0.839406,0.00008913514,0.0004114165,0.001276128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5338657,0.00002366759,0.4642328,0.0000209459,0.001222622,0.0003973647,0.00004863074,0.0001334363,0.00005472099],"genre_scores_gemma":[0.9996113,0.00004431937,0.0000445804,0.00001318847,0.00004041376,0.0001199497,0.00001134645,0.00003670806,0.00007823228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5613212,"threshold_uncertainty_score":0.9999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07915709937422193,"score_gpt":0.3205321076622719,"score_spread":0.24137500828805,"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."}}