{"id":"W3180931089","doi":"10.1155/2021/5597694","title":"The Effects of Multitasking and Tools Carried by Travelers Onboard on the Perceived Trip Time","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Human multitasking; Transport engineering; Multivariate analysis of variance; Perception; Exploratory factor analysis; Travel behavior; Beijing; Travel survey; Sample (material); Applied psychology; Computer science; Engineering; Psychology; China; Geography; Statistics; Mathematics; Structural equation modeling","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":[0.0003695847,0.00007219331,0.0001419361,0.00003014784,0.0003410404,0.00004853452,0.0000837196,0.00004858334,0.00001232876],"category_scores_gemma":[0.0003380608,0.00004755501,0.00007517814,0.0001735053,0.0001076732,0.0002963289,3.439826e-7,0.0001385637,4.259143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437793,"about_ca_system_score_gemma":0.000103384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588098,"about_ca_topic_score_gemma":0.0001215585,"domain_scores_codex":[0.9989793,0.0001340881,0.0003371602,0.00008307402,0.0003546085,0.0001117689],"domain_scores_gemma":[0.9981896,0.001103814,0.0003339178,0.00005973626,0.0002610315,0.00005187395],"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":[0.001734341,0.0003426686,0.007431556,0.0002265889,0.0004821967,0.0001202001,0.3142025,0.1174977,0.4337597,0.01520292,0.001424225,0.1075755],"study_design_scores_gemma":[0.003894093,0.000527365,0.9052167,0.0006918081,0.0003211585,0.000003398904,0.04986028,0.0001881031,0.02973073,0.001084576,0.00816411,0.0003176946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969232,0.0004435883,0.0006315393,0.001406313,0.0002369801,0.0001514668,0.00001347164,0.000008647091,0.0001847884],"genre_scores_gemma":[0.9976552,0.001020417,0.0009842999,0.00007883096,0.00003735154,0.000003094066,0.00002266481,0.000007271816,0.0001909267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8977851,"threshold_uncertainty_score":0.2623042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00854564777010679,"score_gpt":0.2554499196275887,"score_spread":0.2469042718574819,"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."}}