{"id":"W2007907648","doi":"10.1016/j.techfore.2006.09.004","title":"Scenario development in China's electricity sector","year":2006,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Greenhouse gas; Electricity; Tonne; Coal; Natural resource economics; Consumption (sociology); Sustainability; Electricity generation; Environmental science; China; Economics; Natural gas; Agricultural economics; Investment (military); Environmental economics; Engineering; Waste management; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125385,0.0005098369,0.0002107287,0.001762308,0.0007110345,0.001223038,0.0006718682,0.0007084554,0.003074388],"category_scores_gemma":[0.001865124,0.000167925,0.0004715601,0.002264239,0.0003590425,0.001249825,0.0006100508,0.0003619953,0.000148842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006005514,"about_ca_system_score_gemma":0.002752224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07291286,"about_ca_topic_score_gemma":0.08357635,"domain_scores_codex":[0.999395,0.000267834,0.00002728298,0.00005589904,0.0001054287,0.0001485681],"domain_scores_gemma":[0.9994456,0.0001205536,0.0000809526,0.00004014028,0.0002254593,0.00008736527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008829173,0.000186131,0.1673806,0.000232354,0.0002144693,0.002764272,0.0007452276,0.6955169,0.002858814,0.07869218,0.01072487,0.03980122],"study_design_scores_gemma":[0.000100518,0.0002835422,0.171414,0.00005722338,0.0001831399,0.0004006421,0.002679681,0.769842,0.002679928,0.03428086,0.01797412,0.0001044119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718207,0.0003466826,0.001651788,0.001437911,0.00004488536,0.00006462259,0.001738603,0.00007066005,0.02282431],"genre_scores_gemma":[0.9983779,0.000107148,0.0002721367,0.00001991917,0.000002546752,0.00001534401,0.0004265684,0.000003234512,0.0007751744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07291286,"threshold_uncertainty_score":0.1449769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763272651950719,"score_gpt":0.228157879663294,"score_spread":0.1905251531437868,"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."}}