{"id":"W2063593671","doi":"10.1117/12.541296","title":"Driver drowsiness detection using multimodal sensor fusion","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Sensor fusion; Fusion; Artificial intelligence; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004270538,0.0003636243,0.0003890268,0.0001594158,0.0001539466,0.00008160911,0.000635522,0.0004136144,0.00004421287],"category_scores_gemma":[0.0002532339,0.000316792,0.0006289042,0.0004846494,0.0002405001,0.0004509422,0.0001312872,0.0004756242,0.000009138394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788235,"about_ca_system_score_gemma":0.00002680218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008510137,"about_ca_topic_score_gemma":4.862163e-7,"domain_scores_codex":[0.9977276,2.069654e-8,0.0006864109,0.0004930726,0.0005993258,0.0004935333],"domain_scores_gemma":[0.9979649,0.00009466294,0.0003998339,0.00007501963,0.00132945,0.0001361652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002531437,0.0003146277,0.001133742,0.0001089532,0.0007509982,5.354281e-7,0.0008653805,0.00128486,0.7719811,0.221257,0.0002441546,0.001805559],"study_design_scores_gemma":[0.01737536,0.001716432,0.01663389,0.00297948,0.001636202,0.0002387651,0.01340615,0.05548868,0.8814724,0.003821313,0.002470327,0.002761026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951077,0.00008321946,0.0003119065,0.0008340302,0.0009419065,0.000577949,0.00002431926,0.0001389109,0.001980089],"genre_scores_gemma":[0.9453408,0.00002368411,0.05373076,0.00008316337,0.0005716947,0.00007778284,0.000006163842,0.00007939515,0.00008656683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2174356,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456240464447252,"score_gpt":0.2546701456244732,"score_spread":0.2401077409800007,"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."}}