{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007954126,0.000502292,0.0004331384,0.0008584461,0.0001001132,0.0004478855,0.0002610506,0.000570677,0.0003631398],"category_scores_gemma":[0.002167832,0.0001399331,0.0003397783,0.0004257663,0.0001002427,0.0005118733,0.0002465164,0.0003040826,0.0001827034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049173,"about_ca_system_score_gemma":0.00015815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006897742,"about_ca_topic_score_gemma":0.001373188,"domain_scores_codex":[0.9995561,0.00008770168,0.00003216226,0.0001284204,0.0001547038,0.0000409075],"domain_scores_gemma":[0.9994441,0.0002305024,0.0001216049,0.00003326769,0.0001476491,0.00002284467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001150268,0.0004778791,0.140266,0.0007529003,0.000549696,0.0002266341,0.0004066453,0.009201787,0.3281833,0.00062508,0.0007302609,0.5174296],"study_design_scores_gemma":[0.00008130749,0.003304157,0.6795979,0.0001386968,0.0004860744,0.001285155,0.0003913154,0.1838238,0.1258528,0.001509164,0.003353487,0.0001761895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449594,0.002410644,0.1490576,0.0001247156,0.000125931,0.0001267464,0.0005277401,0.0002857891,0.002381348],"genre_scores_gemma":[0.9771866,0.0005524129,0.02152384,0.0000395328,0.00005838174,0.00004355996,0.0002358482,0.000009469829,0.0003503937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008584461,"threshold_uncertainty_score":0.004206598,"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."}}