{"id":"W3186916182","doi":"10.1155/2021/6739071","title":"Effect of Cognitive Distraction on Physiological Measures and Driving Performance in Traditional and Mixed Traffic Environments","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Hebei Provincial Key Research Projects; Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Distraction; Driving simulator; Cognition; Poison control; Simulation; Distracted driving; Transport engineering; Computer science; Engineering; Psychology; Cognitive psychology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001844899,0.00007834091,0.0001790876,0.00007934808,0.00003453662,0.000004785541,0.00001747924,0.00004967981,0.0001226126],"category_scores_gemma":[0.00004482197,0.00006751237,0.00004549002,0.00005405134,0.00004262573,0.0002294598,4.122924e-7,0.0001867079,0.000001463324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002337504,"about_ca_system_score_gemma":0.000008403406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.342167e-7,"about_ca_topic_score_gemma":0.000008634643,"domain_scores_codex":[0.999174,0.0001342077,0.0003583429,0.0001109599,0.0001574035,0.00006510338],"domain_scores_gemma":[0.999329,0.0003081178,0.0002627667,0.000028972,0.00003564768,0.00003547653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008530756,0.002361625,0.1009448,0.0002523471,0.0004005488,0.0002299645,0.01670153,0.05984309,0.1889662,0.0009296785,0.00004143024,0.6207981],"study_design_scores_gemma":[0.002128642,0.0008943451,0.9883041,0.0001987679,0.00003127593,0.00003379919,0.0007538951,0.00005475355,0.007471631,0.0000267724,0.00004626918,0.0000557807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992303,0.00006818149,0.0002368027,0.00004148465,0.0002484635,0.00007295499,0.000008690493,0.000003626623,0.00008947615],"genre_scores_gemma":[0.9996631,0.000159198,0.00006085342,0.00001656115,0.00003298406,0.000005809133,0.00003950992,0.000004788748,0.00001724369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8873593,"threshold_uncertainty_score":0.2753074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208142110670313,"score_gpt":0.3088077683457285,"score_spread":0.2879935572786972,"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."}}