{"id":"W4229459643","doi":"10.18280/ts.390211","title":"Driver Drowsiness Detection and Alert System Development Using Object Detection","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Closing (real estate); Computer science; Object detection; Computer vision; Automotive engineering; Real-time computing; Simulation; Engineering","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":[0.0003577447,0.0003643995,0.0004090405,0.000748413,0.0002158702,0.0005364443,0.0006418399,0.0003963318,0.002817166],"category_scores_gemma":[0.0005916728,0.0002984472,0.0003363523,0.0002456106,0.00009002438,0.0005480353,0.0003624876,0.0002641429,0.001010199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437847,"about_ca_system_score_gemma":0.0004089118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188515,"about_ca_topic_score_gemma":0.001512994,"domain_scores_codex":[0.9997888,0.00001553016,0.00001699186,0.00006455182,0.00008191162,0.00003213979],"domain_scores_gemma":[0.9997224,0.00003853574,0.00001760711,0.00002285773,0.0001745761,0.00002396447],"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":[0.0004643146,0.0003577901,0.009175784,0.0002914286,0.00009402478,0.0004624599,0.0003623267,0.005824024,0.3390156,0.001250607,0.004965378,0.6377363],"study_design_scores_gemma":[0.0001513605,0.001397777,0.03738176,0.00007076393,0.0002035079,0.00136832,0.0002731144,0.5539213,0.3754672,0.0008462181,0.02879595,0.0001226852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1420857,0.0004129836,0.8404014,0.0001349255,0.0001623733,0.000757389,0.0003454196,0.01062721,0.005072647],"genre_scores_gemma":[0.5788136,0.0005418769,0.4070922,0.0001691648,0.00004932846,0.000616922,0.0009709349,0.0002714315,0.0114745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002817166,"threshold_uncertainty_score":0.009424329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266582488622229,"score_gpt":0.2490556993253937,"score_spread":0.2263898744391714,"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."}}