{"id":"W2131051069","doi":"10.1177/1071181312561462","title":"A Driving Simulator Study Examining Phone Dialing with an iPhone vs. a Button Style Flip-Phone","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Department of Transportation","keywords":"Phone; Task (project management); Interface (matter); Mobile phone; Computer science; Simulation; Engineering; Telecommunications; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001090428,0.0003425258,0.0004625845,0.00007286489,0.0009551038,0.0001425016,0.0003160362,0.0001520518,0.0001459066],"category_scores_gemma":[0.00008182909,0.0002585043,0.0001489638,0.0002010246,0.0001597738,0.0008847801,0.000220906,0.000440477,0.000007080452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166985,"about_ca_system_score_gemma":0.00001706958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884257,"about_ca_topic_score_gemma":0.00003078125,"domain_scores_codex":[0.9981169,0.00004552761,0.0006141553,0.0004346811,0.0002509444,0.0005377555],"domain_scores_gemma":[0.998524,0.0001694556,0.0006961064,0.0001893535,0.0002141389,0.0002069392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001686623,0.0006093633,0.6722647,0.00004818109,0.0002922467,1.254342e-7,0.3196889,0.00005781975,0.005851678,0.000383202,0.0004228044,0.0002123164],"study_design_scores_gemma":[0.001532872,0.0004297811,0.6849746,0.0001502337,0.0001237599,0.000006683314,0.3092353,0.0005659499,0.002044867,0.0000179778,0.0004547393,0.0004632492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978638,0.00004721399,0.00001779458,0.00002809749,0.000531254,0.0004043158,0.00001425067,0.0001310263,0.0009622516],"genre_scores_gemma":[0.9985541,0.000005288415,0.0004306164,0.0001005916,0.0004419147,0.00002922827,0.000004926149,0.00006389284,0.00036945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270986,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296790871342155,"score_gpt":0.3014260623671673,"score_spread":0.2717469752329518,"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."}}