{"id":"W3093611549","doi":"10.1016/j.aap.2020.105845","title":"Characteristics of driver cell phone use and their influence on driving performance: A naturalistic driving study","year":2020,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Distraction; Phone; Distracted driving; Context (archaeology); Poison control; Crash; Mobile phone; Human factors and ergonomics; Driving simulator; Engineering; Computer security; Applied psychology; Transport engineering; Computer science; Simulation; Psychology; Medical emergency; Telecommunications; Medicine; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002656268,0.0001744028,0.000369294,0.0002986848,0.0001259436,0.00009289708,0.0001544295,0.00006569833,0.001651027],"category_scores_gemma":[0.0001258399,0.00015544,0.0001843381,0.00057342,0.00002764647,0.0004696046,0.0000733008,0.0002174434,0.0001044209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003780868,"about_ca_system_score_gemma":0.000009772011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005369168,"about_ca_topic_score_gemma":0.0001848648,"domain_scores_codex":[0.9984031,0.0002653887,0.0006068948,0.0003531113,0.0002196292,0.0001519141],"domain_scores_gemma":[0.9987932,0.0001714222,0.0005061335,0.0002861569,0.000160524,0.00008260535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005086895,0.0002736614,0.9865215,0.000005926764,0.000591782,0.000002883694,0.008744966,0.000185631,0.001498533,0.00004046028,0.00008413557,0.001999659],"study_design_scores_gemma":[0.0004674848,0.0001961031,0.9916523,0.00003659777,0.0005832626,9.537764e-7,0.001342858,0.005139948,0.0003521609,0.000006596305,0.00007918577,0.0001425807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980628,0.000014489,0.001233328,0.00006479477,0.0001413252,0.0002585372,8.269991e-7,0.00005485029,0.0001690433],"genre_scores_gemma":[0.9990662,0.00003392049,0.00003810902,0.0001316181,0.00005367801,0.00002181181,0.00004259195,0.00001297431,0.0005991491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007402108,"threshold_uncertainty_score":0.9992616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500162489017294,"score_gpt":0.318602203329602,"score_spread":0.2936005784394291,"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."}}