{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006877879,0.0004725246,0.0002591701,0.0004546123,0.0001813992,0.000462308,0.0001746118,0.0002861955,0.0006157532],"category_scores_gemma":[0.003806425,0.0001952596,0.0002875397,0.0001882734,0.0003644014,0.000268679,0.00067565,0.000318413,0.00008953792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661771,"about_ca_system_score_gemma":0.0002245015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007032898,"about_ca_topic_score_gemma":0.001069863,"domain_scores_codex":[0.9992878,0.0001757034,0.00006428534,0.0001528054,0.0002328417,0.00008646744],"domain_scores_gemma":[0.9966829,0.001734942,0.0006755245,0.0001881689,0.0003032312,0.0004150988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01052142,0.002834814,0.7687943,0.0004654124,0.0006870319,0.0004925376,0.003607424,0.0008159608,0.1545213,0.000136359,0.00019053,0.05693295],"study_design_scores_gemma":[0.00002293853,0.002037602,0.9931087,0.000006559894,0.00006183175,0.0001496413,0.0003526131,0.0003793682,0.003720983,0.00003518121,0.0001130824,0.00001147182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994096,0.00006119991,0.0003109307,0.000004533719,0.000003664424,0.000009786028,0.0000232448,0.000003629006,0.0001734789],"genre_scores_gemma":[0.9993591,0.0000366985,0.0004130501,0.00001158023,0.000004805031,0.00002518418,0.00004625933,0.000002108197,0.0001013874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007032898,"threshold_uncertainty_score":0.003637433,"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."}}