{"id":"W7133028718","doi":"","title":"Detecting Driver Drowsiness using Peripheral Physiological Signals","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto","keywords":"Context (archaeology); Focus (optics); Electroencephalography; Gold standard (test); Peripheral; Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005496193,0.001124858,0.001243334,0.0003642492,0.001593465,0.0001564581,0.0008064847,0.001672391,0.1040968],"category_scores_gemma":[0.0001824076,0.001201869,0.0006810019,0.001330005,0.0001655797,0.0001473124,0.0002083811,0.00317504,0.0005486005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580611,"about_ca_system_score_gemma":0.0002107118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396341,"about_ca_topic_score_gemma":0.00006043814,"domain_scores_codex":[0.9938326,0.001341435,0.0009908439,0.00176866,0.0006867711,0.001379622],"domain_scores_gemma":[0.9972026,0.0003349507,0.001067115,0.0008779631,0.0002413437,0.0002760074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.006034927,0.003570792,0.006336914,0.0003728923,0.006392192,0.001898082,0.3615445,0.06234624,0.4044978,0.001415087,0.008394046,0.1371965],"study_design_scores_gemma":[0.01678696,0.00473862,0.03475809,0.005089548,0.006371949,0.0003118376,0.8724846,0.02084479,0.01421293,0.0005227542,0.00936716,0.01451078],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728176,0.003074408,0.0005103116,0.0001236054,0.00781974,0.0009118331,0.00001559767,0.000227039,0.01449987],"genre_scores_gemma":[0.9846215,0.00007639991,0.0004426084,0.0002897815,0.0009155878,0.0001453867,0.0005088062,0.0002332403,0.01276675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5109401,"threshold_uncertainty_score":0.9997063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075986372524406,"score_gpt":0.3993912197448192,"score_spread":0.3386313560195751,"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."}}