{"id":"W4400857209","doi":"10.1016/j.ecolecon.2024.108306","title":"The economic cost of a 130 km/h speed limit: Insights for cost-benefit analyses","year":2024,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Limit (mathematics); Economics; Environmental science; Natural resource economics; Environmental economics; Mathematics","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":[0.000364838,0.00008152619,0.0001686246,0.00004974443,0.0003705373,0.0001530783,0.0001873065,0.000120493,0.000173101],"category_scores_gemma":[0.00009866487,0.00006064666,0.0001221435,0.00006978545,0.0001831367,0.0001481939,0.000008995917,0.00006952282,0.00005146238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052279,"about_ca_system_score_gemma":0.0002157321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410306,"about_ca_topic_score_gemma":0.00601878,"domain_scores_codex":[0.999221,0.00003198126,0.0003217164,0.0002015079,0.00003289221,0.0001909386],"domain_scores_gemma":[0.9985467,0.001153202,0.0001026038,0.00009073768,0.00003730579,0.00006951831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007588425,0.00004200324,0.001513606,0.00001537909,0.0001149581,0.000002051491,0.002225845,0.3266494,0.00001202048,0.6562945,0.002395539,0.01065889],"study_design_scores_gemma":[0.000493184,0.0001758795,0.02255199,0.00001883518,0.000094282,5.663831e-7,0.002604047,0.1669914,0.0001975294,0.02425449,0.7823245,0.0002932784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704241,0.0005108918,0.001117972,0.003400394,0.001578993,0.001038603,0.0002118731,0.0001492988,0.02156788],"genre_scores_gemma":[0.9968901,0.001137342,0.0004639403,0.0001298267,0.0001832777,0.0000480831,0.00006616484,0.000008453616,0.001072843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7799289,"threshold_uncertainty_score":0.3358621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08272224197730789,"score_gpt":0.3558788216312854,"score_spread":0.2731565796539775,"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."}}