{"id":"W2890047111","doi":"10.1145/3239092.3265965","title":"The Impact of Advanced Vehicle Technologies on Older Driver Safety","year":2018,"lang":"en","type":"article","venue":"","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université du Québec à Chicoutimi; University of Toronto; McMaster University; Toronto Rehabilitation Institute","funders":"","keywords":"Workload; Usability; Computer science; Applied psychology; Human factors and ergonomics; Inclusion (mineral); Advanced driver assistance systems; Outcome (game theory); Driving simulation; Risk analysis (engineering); Psychology; Poison control; Human–computer interaction; Simulation; Medicine; Artificial intelligence; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002555737,0.0001233539,0.000185239,0.00004585988,0.00112444,0.000003202355,0.0002628268,0.0001036678,0.0002186511],"category_scores_gemma":[0.0006024349,0.00005902252,0.00007421477,0.0001926235,0.0004036912,0.00006119819,0.0002460208,0.0002919829,0.0004341972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220946,"about_ca_system_score_gemma":0.00007153392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694599,"about_ca_topic_score_gemma":0.0007588916,"domain_scores_codex":[0.9988639,0.0001007804,0.0002966014,0.0001763075,0.0001497894,0.0004126359],"domain_scores_gemma":[0.9981228,0.0009533654,0.0001393714,0.0005157083,0.000245711,0.00002302276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002097958,0.0001596263,0.7616334,0.00006303281,0.0002548276,0.000001186539,0.008032941,0.00002134527,0.004456309,0.006101198,0.1247037,0.09436268],"study_design_scores_gemma":[0.0006873593,0.0003948735,0.9813099,0.0001796852,0.000006142767,1.278387e-7,0.007588483,0.00006252461,0.001844011,0.001122536,0.00670731,0.00009708305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468151,0.00007328666,0.00007482665,0.003646331,0.0003341219,0.0005553821,0.000009077244,0.0004266831,0.04806516],"genre_scores_gemma":[0.9937342,0.0001529479,0.0001904753,0.0001061407,0.00006470944,0.00003650193,4.94665e-7,0.00001432579,0.005700173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2196765,"threshold_uncertainty_score":0.8648396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626593924477194,"score_gpt":0.4212998437662668,"score_spread":0.3950339045214949,"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."}}