{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003016714,0.0006436684,0.0003817627,0.0004787965,0.0001401538,0.0003807244,0.0006917468,0.0004542144,0.0008216007],"category_scores_gemma":[0.0008285504,0.0002091027,0.0004420794,0.0003293272,0.0001186714,0.0004487677,0.000508321,0.0007153313,0.000287441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217037,"about_ca_system_score_gemma":0.0006494679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009647414,"about_ca_topic_score_gemma":0.01133798,"domain_scores_codex":[0.9998655,0.00001603978,0.000008567154,0.00004538698,0.00003018806,0.00003431433],"domain_scores_gemma":[0.9998273,0.00004586356,0.00002290141,0.00001836085,0.00006746877,0.00001815707],"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":[0.0005151687,0.0007516886,0.02602601,0.0001408506,0.0002174713,0.0002223244,0.0000978981,0.3731321,0.02316668,0.001221005,0.007603324,0.5669054],"study_design_scores_gemma":[0.000005623087,0.00004027554,0.001916929,0.000004457524,0.00001132041,0.00001811723,0.00000801409,0.9956921,0.001654424,0.0003936648,0.0002492906,0.00000572109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4068044,0.001193406,0.5840993,0.0004799473,0.0001807558,0.0001029659,0.001082037,0.002670774,0.00338646],"genre_scores_gemma":[0.9575325,0.0002625647,0.03783645,0.0001350327,0.00003300281,0.00007160316,0.001148615,0.00002447135,0.002955723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009647414,"threshold_uncertainty_score":0.01918256,"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."}}