{"id":"W2100842895","doi":"10.22004/ag.econ.273610","title":"Cost-Benefit Analysis Case Study on Regulations to Lower the Level of Sulphur in Gasoline","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gasoline; Harm; Cost–benefit analysis; Economic analysis; Order (exchange); Net present value; Natural resource economics; Economic cost; Environmental economics; Business; Public economics; Economics; Agricultural economics; Engineering; Production (economics); Waste management; Finance; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892982,0.001174819,0.00077879,0.001989617,0.001546539,0.001584778,0.001620469,0.002825809,0.006761891],"category_scores_gemma":[0.006745712,0.000436899,0.00165019,0.001985268,0.0009543725,0.00101233,0.001060187,0.0013387,0.0003388668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051103,"about_ca_system_score_gemma":0.006009939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1369502,"about_ca_topic_score_gemma":0.1416795,"domain_scores_codex":[0.9964083,0.001994776,0.00007257552,0.00012147,0.0009271142,0.0004757815],"domain_scores_gemma":[0.9940203,0.004435448,0.0001734066,0.0001913683,0.0009773208,0.0002021464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002791975,0.002096568,0.009632447,0.001125304,0.0005268934,0.0038063,0.0006056877,0.8127953,0.003718239,0.1024619,0.01580691,0.04463247],"study_design_scores_gemma":[0.003505609,0.005829689,0.02817933,0.000801888,0.001520651,0.001989202,0.005078457,0.8131074,0.01120212,0.0480677,0.08029724,0.0004206453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7815343,0.002841453,0.03185457,0.003565317,0.0002006125,0.003989591,0.005084265,0.0001851467,0.1707447],"genre_scores_gemma":[0.966675,0.001169813,0.01943139,0.0002683997,0.00002851488,0.0008565645,0.0006795799,0.00001884697,0.01087191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369502,"threshold_uncertainty_score":0.2723062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2837293489248779,"score_gpt":0.3903135673595278,"score_spread":0.1065842184346499,"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."}}