{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313156,0.0005694713,0.0004771588,0.0007236339,0.0001838489,0.0003705362,0.000377181,0.0004665104,0.0005986154],"category_scores_gemma":[0.0008807275,0.0001945559,0.0005010324,0.0003292155,0.0001194459,0.0005812927,0.0005595221,0.0004299962,0.0001953004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967641,"about_ca_system_score_gemma":0.0001825514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503702,"about_ca_topic_score_gemma":0.001404781,"domain_scores_codex":[0.99977,0.0000340814,0.00001729474,0.00007002761,0.00007781753,0.0000307992],"domain_scores_gemma":[0.9998604,0.00003171087,0.00002573224,0.00001389051,0.00005900352,0.000009281993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006278524,0.0003983678,0.01543354,0.0002018085,0.0002860649,0.000318965,0.0003139946,0.1092803,0.1393616,0.001528851,0.001828677,0.7304199],"study_design_scores_gemma":[0.0000169692,0.0002739152,0.01639651,0.00002379765,0.00007810329,0.0001705467,0.00009075481,0.9592067,0.02083807,0.001454451,0.001407087,0.00004309897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2867952,0.001324173,0.7075002,0.0002058129,0.0001359205,0.00009291358,0.0002064047,0.001089047,0.002650384],"genre_scores_gemma":[0.9539834,0.0003396849,0.04430258,0.00006010561,0.00004453492,0.00004597267,0.0002113664,0.00001663615,0.0009956022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001503702,"threshold_uncertainty_score":0.002989888,"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."}}