{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004547325,0.0002374016,0.0002514425,0.0004836879,0.0005384462,0.0007222026,0.0002174739,0.0004969694,0.001353665],"category_scores_gemma":[0.002557021,0.0003281103,0.0003620695,0.0003528338,0.0003826375,0.0003945245,0.0003352037,0.00040378,0.0003470081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012682,"about_ca_system_score_gemma":0.0003428746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009811545,"about_ca_topic_score_gemma":0.01795978,"domain_scores_codex":[0.9996009,0.0001542466,0.00002946487,0.00007318732,0.00007847505,0.00006368093],"domain_scores_gemma":[0.9971544,0.001248435,0.0005566683,0.0001672758,0.0002972847,0.000575991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00260711,0.002763014,0.9751991,0.00003493925,0.0001984763,0.0002874522,0.004905283,0.0001417278,0.009919107,0.00004482294,0.0001606231,0.003738359],"study_design_scores_gemma":[0.00001181247,0.0007077542,0.9978186,0.000001199531,0.00002248287,0.00008568827,0.0008914347,0.0001530335,0.0002038428,0.00001053952,0.00008510864,0.000008441641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998077,0.000007573948,0.00002237136,0.00000346962,8.212239e-7,0.000005415604,0.00003874263,9.507141e-7,0.0001129732],"genre_scores_gemma":[0.9995903,0.000011768,0.00005129799,0.000007129887,0.000002087174,0.00001363649,0.00008623862,0.000002179529,0.0002353617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009811545,"threshold_uncertainty_score":0.0195089,"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."}}