{"id":"W4322502925","doi":"10.3389/fenrg.2023.1115459","title":"Sustainable development efficiency and its influencing factors across BRICS and G7 countries: An empirical comparison","year":2023,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Sustainable development; China; Per capita; Index (typography); Productivity; Malmquist index; Panel data; Economics; Eco-efficiency; Population; Natural resource economics; Total factor productivity; Development economics; Agricultural economics; Economic growth; Geography; Political science; Econometrics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002698009,0.0002070455,0.0004995187,0.0008579357,0.0004948316,0.0002231887,0.0003614398,0.0002049735,0.00002408406],"category_scores_gemma":[0.000275082,0.0002482974,0.00002652991,0.000847901,0.0002711614,0.0004648089,0.0005235539,0.0003430386,0.00003099513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515858,"about_ca_system_score_gemma":0.00008528547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070585,"about_ca_topic_score_gemma":0.0001959676,"domain_scores_codex":[0.9971173,0.00008284078,0.0006706834,0.000801467,0.0001409627,0.001186775],"domain_scores_gemma":[0.9991191,0.0001495473,0.0001354011,0.0003002442,0.00004122541,0.0002544748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001945581,0.00006608311,0.9750291,0.00005736942,0.00002374639,0.00001824659,0.00743898,0.003904013,0.000004656198,0.01192943,0.001060817,0.0004481302],"study_design_scores_gemma":[0.000998023,0.0001647185,0.7256793,0.00002423665,0.000001817948,0.000001598311,0.02288317,0.07592034,0.0004960905,0.006765818,0.166474,0.0005909082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938605,0.003368606,0.001302066,0.0001382044,0.0001873595,0.0001425605,0.00002081165,0.00004538473,0.0009344511],"genre_scores_gemma":[0.9948902,0.001621094,0.0004475807,0.00005719781,0.00003695198,0.0000555989,0.00003149558,0.00004192528,0.002818017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2493497,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07303886832886346,"score_gpt":0.3271954177890527,"score_spread":0.2541565494601892,"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."}}