{"id":"W2807995561","doi":"10.1016/j.trf.2018.06.020","title":"Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality","year":2018,"lang":"en","type":"preprint","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Schema crosswalk; Distraction; Pedestrian; Pedestrian crossing; Computer science; Simulator sickness; Distracted driving; Crowds; Simulation; Virtual reality; Computer security; Human–computer interaction; Psychology; Transport engineering; 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":[0.0002850134,0.0006307837,0.0003973134,0.000389824,0.0001736085,0.0007334687,0.0004577268,0.0006423564,0.003613642],"category_scores_gemma":[0.002756773,0.0002270929,0.0004169227,0.000295457,0.0001465209,0.0002890322,0.000697676,0.000432655,0.0003865005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443667,"about_ca_system_score_gemma":0.0002485586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342266,"about_ca_topic_score_gemma":0.002797313,"domain_scores_codex":[0.9996828,0.00009858439,0.00001418011,0.00006471977,0.0000749382,0.00006473558],"domain_scores_gemma":[0.9983973,0.00109183,0.0001068818,0.00009893454,0.0001555552,0.0001494595],"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":[0.02452334,0.009527073,0.1642483,0.003915099,0.001508621,0.003794897,0.01156423,0.02514283,0.444655,0.0009400726,0.007581272,0.3025993],"study_design_scores_gemma":[0.00054766,0.01331856,0.8711265,0.000202631,0.001913377,0.002161346,0.00292264,0.06833801,0.0342273,0.0005733063,0.004421486,0.0002471461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967862,0.0001186242,0.001541248,0.0000417986,0.00003628247,0.00002556201,0.0002686279,0.0001391173,0.001042529],"genre_scores_gemma":[0.9977571,0.0001026809,0.001465179,0.00004755742,0.00002159522,0.00002506743,0.0001452212,0.00002080818,0.0004147029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003613642,"threshold_uncertainty_score":0.01208889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08043009805692912,"score_gpt":0.4499874312451634,"score_spread":0.3695573331882343,"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."}}