{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01147126,0.0003799555,0.0008649864,0.003230569,0.0006901625,0.003488845,0.0005271409,0.001078836,0.002978874],"category_scores_gemma":[0.04873233,0.0002473184,0.00145855,0.002348732,0.0008914308,0.002726534,0.001540009,0.0008676825,0.000256545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822149,"about_ca_system_score_gemma":0.003995197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196231,"about_ca_topic_score_gemma":0.009588563,"domain_scores_codex":[0.9933688,0.002958508,0.001334073,0.0003004953,0.001817692,0.000220359],"domain_scores_gemma":[0.9339393,0.05188197,0.005357885,0.0005624807,0.007797975,0.000460442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000467602,0.0002169107,0.03831289,0.2047429,0.002588567,0.0006134493,0.01191569,0.0005157619,0.001059996,0.005754999,0.004267675,0.7295436],"study_design_scores_gemma":[0.0001780311,0.003546239,0.2416878,0.5086749,0.01435547,0.002888999,0.03839085,0.0008083243,0.003903215,0.01092211,0.1744293,0.0002148035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09416244,0.8863055,0.001244964,0.003059251,0.0006199629,0.0002776296,0.000390045,0.000009519242,0.01393073],"genre_scores_gemma":[0.3710075,0.6240206,0.001824187,0.001231551,0.0003249836,0.0002483462,0.0001863034,0.000008175022,0.001148502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01147126,"threshold_uncertainty_score":0.0606665,"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."}}