{"id":"W3178161278","doi":"10.1016/j.enpol.2021.112445","title":"Trade-offs between vehicle fuel economy and performance: Evidence from heterogeneous firms in China","year":2021,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Economics; Business; Industrial organization; International trade; International economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006660318,0.0002463988,0.0003104389,0.0001495648,0.00009707296,0.00005251182,0.0001732992,0.0001454217,0.0002104853],"category_scores_gemma":[0.00002171453,0.0002603247,0.00007979778,0.0002512343,0.0001099603,0.000318936,0.00004734948,0.0001392338,0.00001900862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009400387,"about_ca_system_score_gemma":0.00008074544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02868027,"about_ca_topic_score_gemma":0.006417449,"domain_scores_codex":[0.9985584,0.00008340993,0.0003867676,0.0004377981,0.0001225928,0.0004110537],"domain_scores_gemma":[0.9992335,0.0001157496,0.00008921218,0.0003775315,0.000007292615,0.0001766848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001062012,0.0003230734,0.6389734,0.000217531,0.0004255004,0.0003116834,0.01034514,0.1172437,0.00456276,0.09458271,0.000205561,0.1327028],"study_design_scores_gemma":[0.0007510941,0.00006435577,0.9264262,0.00008795888,0.00003119142,0.000009904372,0.00006623452,0.001020345,0.029828,0.006112884,0.03521441,0.0003874702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878609,0.002072228,0.0000373754,0.001557555,0.00005686844,0.00002826535,0.00002902292,0.00005610734,0.008301651],"genre_scores_gemma":[0.9934491,0.003802398,0.0001187236,0.0009287433,0.0005678412,0.00003097297,0.0001294957,0.00004160091,0.0009311585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874528,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502993101111017,"score_gpt":0.2368219119744538,"score_spread":0.2217919809633437,"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."}}