{"id":"W4407799445","doi":"10.47392/irjaem.2025.0041","title":"Driver Drowsiness Detection Using Deep Neural Networks","year":2025,"lang":"en","type":"article","venue":"International Research Journal on Advanced Engineering and Management (IRJAEM)","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Deep neural networks; Neuroscience; Psychology","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":[0.0002079313,0.0006094406,0.0002457157,0.0005911971,0.0001485669,0.0003459515,0.0004150959,0.00033573,0.0009343183],"category_scores_gemma":[0.0006346192,0.0002031754,0.0003475959,0.0002878716,0.00009018153,0.0003727869,0.0004233731,0.000502386,0.0003133654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655025,"about_ca_system_score_gemma":0.0003592965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131438,"about_ca_topic_score_gemma":0.02476555,"domain_scores_codex":[0.9998937,0.00001168571,0.000005818523,0.00003673761,0.00002584698,0.00002624422],"domain_scores_gemma":[0.9998477,0.00003719271,0.00002488651,0.00001258731,0.00006212921,0.00001548203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001176714,0.001134922,0.07994251,0.0003569132,0.0004988839,0.0004209967,0.0002274434,0.1295455,0.06927083,0.0008971221,0.01217164,0.7043565],"study_design_scores_gemma":[0.00002638708,0.0002475306,0.03566337,0.00003997739,0.00007981205,0.00009094218,0.00007014778,0.9458919,0.01523771,0.0008981887,0.001725556,0.00002855029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519486,0.001255113,0.1361568,0.000382382,0.0001657075,0.0001382199,0.002308582,0.002952333,0.004692214],"genre_scores_gemma":[0.9810535,0.0002637488,0.01503506,0.00006862076,0.00002377747,0.00003871667,0.00147834,0.00002411617,0.002014078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131438,"threshold_uncertainty_score":0.02613461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673077308809003,"score_gpt":0.3677635844632676,"score_spread":0.3410328113751776,"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."}}