{"id":"W2781905780","doi":"10.5539/mas.v12n2p1","title":"A Critical Analysis on Influential Factors on Power Energy Resources in China","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Global Energy Security and Policy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Xinjiang University; National Development and Reform Commission; Tsinghua University; National Natural Science Foundation of China; Natural Science Foundation of Xinjiang; European Commission; United Nations Development Programme; World Bank Group","keywords":"Energy security; China; Energy consumption; SWOT analysis; Consumption (sociology); Business; Environmental economics; Wind power; Renewable energy; Sustainable development; Economics; Marketing; Political science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003367713,0.0004961425,0.0003789815,0.008348737,0.002099656,0.003403001,0.000421164,0.0003824219,0.002264482],"category_scores_gemma":[0.007959321,0.0002388576,0.000516136,0.01012679,0.001350509,0.001663594,0.001003456,0.0005361373,0.0001217038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009631351,"about_ca_system_score_gemma":0.01039272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05913356,"about_ca_topic_score_gemma":0.07491236,"domain_scores_codex":[0.9979178,0.0004201983,0.0001988818,0.0001660069,0.001012241,0.0002847942],"domain_scores_gemma":[0.9900568,0.004174148,0.001294969,0.0001663373,0.003975724,0.000331981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002337912,0.000124129,0.5912166,0.004682283,0.0005979161,0.007959008,0.04938116,0.007849186,0.003225646,0.09540805,0.02373591,0.2155862],"study_design_scores_gemma":[0.00001347877,0.0001493553,0.801538,0.001937119,0.0006101045,0.0004649444,0.09017272,0.005339403,0.002537423,0.008874116,0.0882093,0.0001540873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008098,0.01309489,0.001857235,0.005213516,0.0001987885,0.0004084996,0.0008277586,0.00003517737,0.0775544],"genre_scores_gemma":[0.9913921,0.005895769,0.0005248048,0.000195018,0.00005144946,0.00004308782,0.00015877,0.000006511694,0.001732426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05913356,"threshold_uncertainty_score":0.1175787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009473839585366975,"score_gpt":0.2681961352410969,"score_spread":0.25872229565573,"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."}}