{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009177515,0.0005458107,0.0003551341,0.000466169,0.0003769098,0.0004584673,0.0003568425,0.0005783442,0.001476422],"category_scores_gemma":[0.003969711,0.0002667359,0.0005725949,0.0001531105,0.0002365953,0.0003561993,0.0002887809,0.0003890718,0.00038933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501515,"about_ca_system_score_gemma":0.0004678894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753694,"about_ca_topic_score_gemma":0.004985556,"domain_scores_codex":[0.9995104,0.0001948668,0.00004240062,0.00007855787,0.00009780881,0.00007592793],"domain_scores_gemma":[0.9966667,0.001449979,0.0002314324,0.0002243561,0.000794363,0.0006330569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02028705,0.1015211,0.5058885,0.001039089,0.0009760945,0.002926397,0.01856532,0.005474908,0.2337473,0.0003638834,0.001432779,0.1077777],"study_design_scores_gemma":[0.001589674,0.3353491,0.5665011,0.00008175895,0.0007866555,0.002203142,0.009946519,0.01170203,0.06709097,0.0003002955,0.004235884,0.0002129136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995962,0.000007728157,0.0002165169,0.000004115517,0.000003720355,0.00004678712,0.00002760635,0.000002984923,0.00009441735],"genre_scores_gemma":[0.9986243,0.00003898194,0.0007186248,0.00003456924,0.000006020527,0.00008405955,0.0001103781,0.000003457061,0.0003794667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002753694,"threshold_uncertainty_score":0.005475283,"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."}}