{"id":"W4392907614","doi":"10.48295/et.2024.96.6","title":"Distraction Effects of Manual Texting and Voice Messaging When Approaching Pedestrian Crossings on Urban Roads: a Driving Simulator Study","year":2024,"lang":"en","type":"article","venue":"European Transport/Trasporti Europei","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Massachusetts Institute of Technology","keywords":"Distraction; Pedestrian; Driving simulator; Text messaging; Computer science; Simulation; Transport engineering; Engineering; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001224622,0.0008775783,0.000738551,0.000443374,0.0003933815,0.0007766404,0.0006592624,0.0008477313,0.002100255],"category_scores_gemma":[0.004784312,0.0004174059,0.0005173405,0.0001984807,0.0003487789,0.0003487954,0.0006393535,0.000526401,0.0003852391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035341,"about_ca_system_score_gemma":0.0004255159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000920539,"about_ca_topic_score_gemma":0.001066307,"domain_scores_codex":[0.9989437,0.0005203878,0.00008318856,0.0001688957,0.0001565946,0.0001271726],"domain_scores_gemma":[0.9960062,0.002362734,0.0004495331,0.0003461509,0.0003719674,0.0004633919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06173453,0.1109154,0.1415919,0.002365532,0.001391054,0.002402193,0.03972179,0.01204684,0.5368179,0.0007321789,0.001451492,0.0888292],"study_design_scores_gemma":[0.005605807,0.4131208,0.4456125,0.0001976532,0.001674824,0.001757388,0.01237888,0.01936459,0.09342232,0.0009290971,0.005556761,0.0003793681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996183,0.0000123267,0.0001732692,0.00000514277,0.000004274062,0.00003908648,0.00001936339,0.000005360261,0.0001227554],"genre_scores_gemma":[0.9982675,0.00004364327,0.0009168416,0.00004463617,0.00002031775,0.000170966,0.0000940779,0.000007945711,0.0004340266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002100255,"threshold_uncertainty_score":0.007026076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613992574077786,"score_gpt":0.3198886546407975,"score_spread":0.3037487289000196,"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."}}