{"id":"W2921339928","doi":"10.1155/2019/2867247","title":"Drivers’ Perceptions of Smartphone Applications for Real-Time Route Planning and Distracted Driving Prevention","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar Foundation","keywords":"Distracted driving; SAFER; Distraction; Smartphone application; Perception; Transport engineering; Computer security; Real-time data; Installation; Internet privacy; Engineering; Computer science; Business; Multimedia; Psychology; World Wide Web","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":[0.0001030406,0.00008967514,0.0001914665,0.0001447655,0.0000403512,0.000007861667,0.00004998631,0.00005323114,0.0000337976],"category_scores_gemma":[0.00000491417,0.00009768582,0.00008611855,0.0001892331,0.00002157094,0.0004288293,4.299897e-7,0.00009475351,0.000001436876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003203841,"about_ca_system_score_gemma":0.00002768333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001690899,"about_ca_topic_score_gemma":0.00001952644,"domain_scores_codex":[0.9991354,0.00000585863,0.0005614693,0.00008552762,0.0001214441,0.00009033833],"domain_scores_gemma":[0.9993352,0.0000615731,0.0002382294,0.00008223413,0.0002385963,0.00004417698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006205975,0.00008988706,0.04991231,0.0002711611,0.000103624,6.841696e-7,0.002820202,0.3090274,0.6311722,0.001059782,0.00002607817,0.005454566],"study_design_scores_gemma":[0.00106514,0.0001120795,0.9932367,0.0001244388,0.0001006798,0.000002482439,0.000925152,0.000679695,0.002703464,0.0004244673,0.0005201733,0.0001054963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592651,0.00002511296,0.1400575,0.00002655051,0.00008285976,0.0003770898,0.0000667158,0.0000378749,0.00006120227],"genre_scores_gemma":[0.9795404,0.00008708904,0.01995507,0.000003534758,0.00002836354,0.00002657249,0.0002845737,0.00001635015,0.00005803828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9433244,"threshold_uncertainty_score":0.3983512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005648121736415206,"score_gpt":0.2488934109312215,"score_spread":0.2432452891948063,"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."}}