{"id":"W2116833966","doi":"10.5539/ass.v7n10p86","title":"An Empirical Study on the Relations between Rural Energy Consumption and Economic Growth","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granger causality; Energy consumption; Rural economy; Economics; Consumption (sociology); China; Rural area; Lag; Econometrics; Geography; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004759137,0.000102417,0.0001250559,0.00007352212,0.0008951489,0.00008045683,0.0003191959,0.00006456762,0.0001117196],"category_scores_gemma":[0.00001740837,0.00007038905,0.00003030693,0.0001884237,0.0005026785,0.0002748172,0.00005407156,0.00007596939,0.00004193117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009795938,"about_ca_system_score_gemma":0.00007921717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007338748,"about_ca_topic_score_gemma":0.001560209,"domain_scores_codex":[0.9989616,0.0001682667,0.0001746785,0.0002569625,0.000188016,0.000250536],"domain_scores_gemma":[0.9995549,0.0000450236,0.00007738303,0.0001807256,0.00002521944,0.0001167939],"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":[0.00001153142,0.0001341086,0.4298958,0.000001093124,0.00003025461,0.0000030445,0.01464252,0.000003785808,0.0002475358,0.5346719,0.0004431872,0.01991525],"study_design_scores_gemma":[0.0001551197,0.0001473509,0.9903182,0.000003465952,0.00001177889,0.000001381011,0.003720503,0.00002634313,0.0002401549,0.004172281,0.001080931,0.000122539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628529,0.000008419451,0.000130159,0.0002848244,0.0002371401,0.00006814569,0.000003463713,0.00004575008,0.2363692],"genre_scores_gemma":[0.9993512,0.000001792591,0.00001637563,0.00008791447,0.0002805832,0.00001677963,0.000001677329,0.000008609991,0.00023509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5604224,"threshold_uncertainty_score":0.9992715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214444847288221,"score_gpt":0.2942581189197734,"score_spread":0.2521136704468912,"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."}}