{"id":"W4388037728","doi":"10.1109/icidea59866.2023.10295233","title":"Mitigating Truck Driver Fatigue: A Driver Sleepiness Detecting System","year":2023,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agra; Truck; Safeguarding; Sleep deprivation; Transport engineering; Falling (accident); Computer security; Engineering; Forensic engineering; Business; Environmental health; Computer science; Psychology; Medicine; Automotive engineering","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":[0.0001927291,0.0004268511,0.0003901112,0.0005099803,0.00030457,0.0003163636,0.0005969256,0.000494092,0.001576632],"category_scores_gemma":[0.0004132976,0.0001712481,0.0002767193,0.0001876984,0.00009940104,0.0004285053,0.0004457061,0.0002555248,0.0007345746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190956,"about_ca_system_score_gemma":0.0002613121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465402,"about_ca_topic_score_gemma":0.001789703,"domain_scores_codex":[0.999866,0.00001065251,0.00001208534,0.00004555873,0.00003611342,0.00002959809],"domain_scores_gemma":[0.9998332,0.00002396167,0.00002960872,0.00001458286,0.00007775391,0.00002089838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001661679,0.001367097,0.04107598,0.0005051272,0.0001793306,0.001004684,0.0004500484,0.005064035,0.3521653,0.000808091,0.01738594,0.5783327],"study_design_scores_gemma":[0.0005183704,0.006396489,0.1448432,0.0001745967,0.0008612593,0.004147093,0.0007354225,0.5448178,0.2494873,0.00201251,0.04571803,0.0002880687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6506965,0.002540036,0.3206317,0.0007620736,0.0005964928,0.0006142462,0.001061342,0.01392973,0.009167925],"genre_scores_gemma":[0.9645605,0.0005080276,0.02945097,0.0003156434,0.00009992129,0.0001670538,0.00067754,0.000045772,0.004174595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001576632,"threshold_uncertainty_score":0.005274355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408069190959059,"score_gpt":0.3021915948966819,"score_spread":0.2681109029870913,"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."}}