{"id":"W4377862194","doi":"10.1016/j.aap.2023.107122","title":"Assessing the impact of road safety agencies and health systems in traffic outcomes across 146 countries, 1994–2012","year":2023,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Endogeneity; Occupational safety and health; Road traffic; Transport engineering; Work (physics); Poison control; Environmental health; Injury prevention; Business; Geography; Medicine; Engineering; Economics; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003650644,0.0005318971,0.0004870345,0.002569597,0.0004049885,0.001067198,0.0007321135,0.0004711953,0.001968999],"category_scores_gemma":[0.01004983,0.0004480539,0.001432071,0.004823865,0.0005448005,0.0009604339,0.002275753,0.000976555,0.0003816717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541767,"about_ca_system_score_gemma":0.001481959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05298253,"about_ca_topic_score_gemma":0.03032308,"domain_scores_codex":[0.9976245,0.0007152797,0.0004381947,0.0004439832,0.000385329,0.0003927027],"domain_scores_gemma":[0.9888805,0.001722862,0.006649909,0.0004900869,0.001655195,0.000601466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007016482,0.00003347189,0.9925402,0.0001710959,0.0003418928,0.00004117777,0.000224845,0.001021858,0.00002663585,0.0002517434,0.00196154,0.003315395],"study_design_scores_gemma":[0.000004757413,0.00006200291,0.9973118,0.00006160957,0.0001243465,0.00004211943,0.0005690958,0.0002868322,0.0000660978,0.0000377986,0.0014262,0.0000073212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583944,0.002203281,0.0006778514,0.0005493367,0.00006066559,0.00006154289,0.03637458,0.00002922519,0.001649074],"genre_scores_gemma":[0.9681921,0.001189992,0.0006606716,0.00009767612,0.00003986508,0.0001541261,0.02903656,0.00001135721,0.0006177549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05298253,"threshold_uncertainty_score":0.1053483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107570813774546,"score_gpt":0.3670754947792004,"score_spread":0.335999786641455,"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."}}