{"id":"W4405868908","doi":"10.1016/j.jclepro.2024.144592","title":"Two birds with one stone: Could China's smart city pilot promote energy efficiency and energy equality?","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"FDI World Dental Federation; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Geomembrane Technologies","keywords":"China; Energy (signal processing); Efficient energy use; Environmental economics; Architectural engineering; Engineering; Natural resource economics; Geography; Economics; Mathematics; Archaeology; Statistics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001416255,0.0002550514,0.0003496782,0.0003068949,0.004126774,0.004414521,0.0008690635,0.004253036,0.01835307],"category_scores_gemma":[0.003120787,0.0001872105,0.0004346912,0.000453705,0.003420285,0.00387784,0.002427839,0.004342629,0.0007128711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141774,"about_ca_system_score_gemma":0.01128476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06938193,"about_ca_topic_score_gemma":0.1680592,"domain_scores_codex":[0.9990252,0.0002067929,0.00001487092,0.0001232646,0.0001466792,0.0004830903],"domain_scores_gemma":[0.9983192,0.0003326521,0.0001831925,0.00009104686,0.0002450966,0.0008288373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001358552,0.001066086,0.1074677,0.0002851436,0.0002018546,0.003884531,0.01189481,0.002607525,0.003280344,0.4860135,0.252665,0.1292749],"study_design_scores_gemma":[0.0009970437,0.001052889,0.1957826,0.0005223774,0.0005115351,0.0004249382,0.1059584,0.01151617,0.004291723,0.1837601,0.494759,0.0004232157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.509871,0.001802146,0.002269341,0.3886711,0.002049043,0.00009045933,0.0002196543,0.00008131467,0.09494593],"genre_scores_gemma":[0.9653577,0.0003641346,0.0003952694,0.01872085,0.0002056274,0.00002397823,0.00003452912,0.00001391815,0.0148839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06938193,"threshold_uncertainty_score":0.1379561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628350210558206,"score_gpt":0.2267015881592726,"score_spread":0.2004180860536905,"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."}}