{"id":"W2003032659","doi":"10.1017/s0144686x11000535","title":"Ageing driver licensing requirements and traffic safety","year":2011,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety","keywords":"Crash; Business; Collision; Population ageing; Transport engineering; Population; Engineering; Computer security; Computer science; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001574963,0.0001464398,0.0001519473,0.00001521198,0.0002597255,0.00002602524,0.00004933985,0.0001055988,0.00001703292],"category_scores_gemma":[0.000004693071,0.0001395768,0.00006757955,0.00007241074,0.00007989311,0.0001503266,0.00003856569,0.0001729945,0.000005196729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002661531,"about_ca_system_score_gemma":0.000005471711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001895067,"about_ca_topic_score_gemma":0.000007462986,"domain_scores_codex":[0.9992914,0.00001438666,0.000161607,0.0001864355,0.00008825977,0.0002579315],"domain_scores_gemma":[0.9997357,0.0000280722,0.00002019234,0.0001115034,0.00001283653,0.00009175329],"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":[0.00005004687,0.0001342764,0.01066792,0.0008638841,0.00105314,0.0003690846,0.2383272,0.008817148,0.00976438,0.001419255,0.007646977,0.7208866],"study_design_scores_gemma":[0.002089578,0.00008285935,0.8785987,0.000355694,0.0001774087,0.00005287422,0.006887698,0.1000234,0.0006100356,0.0001394257,0.009869228,0.001113067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923467,0.0006096906,0.0008566658,0.00001778036,0.0001933505,0.00007125797,0.000002201494,0.000366365,0.005535971],"genre_scores_gemma":[0.995368,0.001340198,0.002970091,0.00008458873,0.00007376206,0.000001360041,0.00000288577,0.0000264003,0.0001327272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8679308,"threshold_uncertainty_score":0.5691778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841405833584478,"score_gpt":0.2043963134343918,"score_spread":0.185982255098547,"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."}}