{"id":"W4413229640","doi":"10.18280/isi.300614","title":"Real-Time Drowsiness Detection and Classification with Deep Learning Model","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Deep learning; Pattern recognition (psychology); Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461958,0.0001508746,0.0001494651,0.0003195176,0.00032761,0.0001310079,0.00007786185,0.0002087862,0.00003918923],"category_scores_gemma":[0.00006031135,0.0001390655,0.00002498928,0.0005042554,0.0001072981,0.001082079,0.00002172704,0.0002041051,0.0001461178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141262,"about_ca_system_score_gemma":0.00002992552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009072669,"about_ca_topic_score_gemma":0.00001711301,"domain_scores_codex":[0.9990821,0.0000714569,0.0003642753,0.0001514045,0.0001179343,0.0002128358],"domain_scores_gemma":[0.9993171,0.00006159301,0.0002108632,0.000185668,0.0001807761,0.00004397028],"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":[0.0003330525,0.00003413202,0.00529969,0.00007215975,0.0001541719,0.000001600889,0.01170774,0.008551422,0.001153174,0.0144078,0.0001336315,0.9581514],"study_design_scores_gemma":[0.003639263,0.0003982185,0.1363695,0.00100078,0.0002908295,0.00006846426,0.008953729,0.8431299,0.001075841,0.00311564,0.001068392,0.0008895015],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6471041,0.00008814737,0.2100681,0.00004367172,0.0001882665,0.0003189994,0.000002016888,0.0003184585,0.1418682],"genre_scores_gemma":[0.9983281,0.00004104351,0.0009288593,0.00004836583,0.00001977053,0.0001034098,0.00006014923,0.00001199675,0.0004582682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9572619,"threshold_uncertainty_score":0.5670925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185876143068078,"score_gpt":0.2496504239446255,"score_spread":0.2377916625139447,"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."}}