{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745829,0.0004229927,0.0004616457,0.004889065,0.0004375379,0.001391015,0.000370359,0.000337767,0.002025112],"category_scores_gemma":[0.004042573,0.0001507289,0.001039959,0.008127445,0.0008458098,0.0008825177,0.001216418,0.0006112835,0.0003491568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302379,"about_ca_system_score_gemma":0.001233407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0271762,"about_ca_topic_score_gemma":0.01903353,"domain_scores_codex":[0.999153,0.0001976509,0.00008697222,0.000117559,0.0002027438,0.0002420567],"domain_scores_gemma":[0.9961432,0.001421669,0.001157839,0.0002355159,0.0008618453,0.0001800327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006303327,0.00008792982,0.9755956,0.0002517276,0.0004196398,0.0005218133,0.001248817,0.004663843,0.0002900386,0.003679896,0.001078813,0.01209882],"study_design_scores_gemma":[0.00001006007,0.00007979652,0.9805468,0.0001648791,0.000221126,0.0001811809,0.00978019,0.002775081,0.0004748313,0.0004786219,0.005264028,0.00002339019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940603,0.0005271761,0.0003431289,0.000106409,0.00000597703,0.00002390267,0.001102216,0.000009954466,0.003820915],"genre_scores_gemma":[0.9971851,0.0004067142,0.0002273264,0.00002585491,0.000006347793,0.00002476292,0.001815094,0.000004396749,0.0003045196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0271762,"threshold_uncertainty_score":0.05403602,"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."}}