{"id":"W4400677209","doi":"10.2139/ssrn.4896855","title":"Fuel Efficiency, Power Trading, and Emissions Leakage From Driving Electric Vehicles: Evidence from Chinese Provinces","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Leakage (economics); Automotive engineering; Business; Environmental science; Green vehicle; Fuel efficiency; Natural resource economics; Environmental economics; Economics; Engineering; Macroeconomics","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":[0.0007869637,0.000366454,0.0005363894,0.001155776,0.001233851,0.001317805,0.000630585,0.0003944092,0.002484129],"category_scores_gemma":[0.002816647,0.0003224457,0.001042242,0.004182492,0.001193727,0.0006890256,0.0009611932,0.000634412,0.0001641726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003351521,"about_ca_system_score_gemma":0.004860975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6395439,"about_ca_topic_score_gemma":0.6437035,"domain_scores_codex":[0.9990948,0.000143998,0.00007002891,0.0001509021,0.0001799408,0.0003602712],"domain_scores_gemma":[0.9966569,0.001095713,0.001123501,0.0002743425,0.0005818658,0.000267701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003469813,0.00009291034,0.9902535,0.00008155163,0.0003934435,0.0003290312,0.000849092,0.001256405,0.0002685956,0.001067308,0.0005097835,0.004551336],"study_design_scores_gemma":[0.00002752656,0.00004685848,0.9948667,0.00002425988,0.000374816,0.00003796966,0.002401461,0.0006765024,0.0002845505,0.0002671007,0.0009760266,0.00001616725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966086,0.0006378921,0.00006450889,0.0002382236,0.000005642876,0.00000528683,0.0005962374,0.000002930723,0.001840703],"genre_scores_gemma":[0.9986807,0.0003915279,0.00001753189,0.00003029231,0.000003892821,0.000002083516,0.0004350453,0.000001120266,0.0004377061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6395439,"threshold_uncertainty_score":0.7251578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007804222898097366,"score_gpt":0.2438701480023824,"score_spread":0.236065925104285,"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."}}