{"id":"W2587537304","doi":"10.3390/su9020209","title":"Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council","keywords":"Electric power; Economic shortage; Production (economics); Resource (disambiguation); Projection (relational algebra); China; Power (physics); Consumption (sociology); Government (linguistics); Industrial organization; Environmental economics; Business; Operations management; Computer science; Economics; Microeconomics; Political science","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":[0.0009382935,0.0003477772,0.0002760718,0.001653036,0.001707647,0.001059899,0.000693089,0.0002987566,0.001704028],"category_scores_gemma":[0.001951377,0.0002011919,0.0006588331,0.005679562,0.0009064046,0.000729406,0.00106674,0.0003638621,0.00008154716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01195172,"about_ca_system_score_gemma":0.008241088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4712201,"about_ca_topic_score_gemma":0.5169364,"domain_scores_codex":[0.9991288,0.0002385097,0.00004612112,0.0000933515,0.0002625531,0.000230845],"domain_scores_gemma":[0.999271,0.0002120724,0.000101535,0.00006699822,0.0002315466,0.0001168952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004927343,0.0006853274,0.5496207,0.0005143719,0.0002370832,0.01093251,0.01177067,0.2500567,0.005177414,0.05564486,0.004920445,0.1099471],"study_design_scores_gemma":[0.0001485628,0.000289291,0.4405844,0.00008688958,0.0003073663,0.0009594681,0.0337223,0.4938131,0.005171514,0.01076458,0.01401239,0.0001402458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883054,0.00006292849,0.003231158,0.0001782296,0.000002779118,0.0001079632,0.0002603659,0.00002196637,0.007829051],"genre_scores_gemma":[0.9963574,0.00008528522,0.00195002,0.000006490902,0.000001120413,0.00002751202,0.0001570426,0.000003967423,0.001411179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4712201,"threshold_uncertainty_score":0.9369546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007798247556701718,"score_gpt":0.2890921850924131,"score_spread":0.2812939375357114,"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."}}