{"id":"W2101841312","doi":"10.5539/jsd.v6n8p71","title":"Comprehensive Analysis of the Environmental Benefits of Introducing Technology Innovation in the Energy Sector: Case Study in Chongqing City, China","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southwest University","keywords":"Renewable energy; Hydropower; Natural resource economics; Greenhouse gas; Environmental science; Scarcity; Environmental economics; Wind power; Coal; China; Resource (disambiguation); Business; Economics; Engineering; Waste management; Computer science","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":[0.001206989,0.0001448294,0.0005800397,0.002351203,0.00007500507,0.00002307632,0.0004075775,0.00006902888,0.00007462536],"category_scores_gemma":[0.00007685308,0.0001184544,0.00007771765,0.002021849,0.00007191762,0.0002590209,0.0002298806,0.0002404249,9.046995e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007655477,"about_ca_system_score_gemma":0.0000507755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299441,"about_ca_topic_score_gemma":0.0002133531,"domain_scores_codex":[0.9975774,0.00005549587,0.001795971,0.0002212692,0.0000914457,0.0002584538],"domain_scores_gemma":[0.9978359,0.00005852964,0.001730907,0.0003097594,0.00004603649,0.00001881601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008041201,0.0004441756,0.9535651,0.00001884651,0.0003447244,0.00006994863,0.006658752,0.03226076,0.0001428462,0.005602279,0.00001148719,0.0008730446],"study_design_scores_gemma":[0.000649237,0.00007412563,0.9598417,0.00001317931,0.00002647713,0.00005671919,0.03657403,0.0004460559,0.0007291412,0.001252398,0.0002204901,0.0001164639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987963,0.0003589732,0.0001227289,0.0002826056,0.00006216998,0.0002640988,0.000003011563,0.000001494716,0.0001086089],"genre_scores_gemma":[0.9994695,0.00005959091,0.0003032459,0.0000513362,0.00001616972,0.00002614997,0.000002028359,0.00001097416,0.00006101441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318147,"threshold_uncertainty_score":0.4830429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538796622005878,"score_gpt":0.1977849316697177,"score_spread":0.1823969654496589,"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."}}