{"id":"W4285209723","doi":"10.1109/tits.2022.3176973","title":"A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Modern Agriculture Industry Technology System; National Natural Science Foundation of China","keywords":"Fusion; Aeronautics; Artificial intelligence; Computer science; Engineering","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":[0.0003380564,0.0007199775,0.0005202824,0.001036938,0.0002194751,0.0003230433,0.0004712665,0.0004864499,0.0008842769],"category_scores_gemma":[0.0007419187,0.0002297543,0.0004823534,0.000400868,0.0001361991,0.0006756407,0.0005512189,0.0004482577,0.0003934565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003064069,"about_ca_system_score_gemma":0.0003355175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002019947,"about_ca_topic_score_gemma":0.002906718,"domain_scores_codex":[0.9997391,0.00001795853,0.00001468669,0.00009666395,0.0001002953,0.00003120605],"domain_scores_gemma":[0.9997762,0.00002442982,0.00003341199,0.00001766865,0.0001256381,0.00002270676],"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":[0.0005486637,0.0002648681,0.01607376,0.0002287412,0.000142637,0.000204347,0.0002294935,0.0205288,0.1394196,0.001014985,0.003712587,0.8176315],"study_design_scores_gemma":[0.00003884422,0.0004111207,0.02785785,0.00003629319,0.0001468084,0.0007220056,0.00007827616,0.902138,0.0639358,0.0009516891,0.003593616,0.00008963867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1466731,0.000893389,0.8462968,0.000196396,0.0001680698,0.0001544455,0.0003388533,0.002019511,0.003259235],"genre_scores_gemma":[0.8613898,0.0005686727,0.1336907,0.0001578101,0.0001088913,0.0001668193,0.0004133113,0.0000699233,0.00343417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002019947,"threshold_uncertainty_score":0.00401634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381872774352121,"score_gpt":0.313966661653656,"score_spread":0.2801479339101348,"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."}}