{"id":"W4390395711","doi":"10.54097/ehss.v23i.12904","title":"The Policy and Development of China’s Green Finance","year":2023,"lang":"en","type":"article","venue":"Journal of Education Humanities and Social Sciences","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greenwashing; China; Green development; Green economy; Sustainable development; Legislation; Transparency (behavior); Corporate governance; Business; Finance; Economics; Political science; Corporate social responsibility; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738345,0.00004260697,0.0001189963,0.0001425482,0.0006205099,0.00007180917,0.0001293231,0.00001878178,0.00001388403],"category_scores_gemma":[0.00003709063,0.00003565242,0.00002159859,0.00009390086,0.0003371619,0.0001798867,0.00003434204,0.0000395204,0.000003535578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005031456,"about_ca_system_score_gemma":0.0001562612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231795,"about_ca_topic_score_gemma":0.00008319545,"domain_scores_codex":[0.999433,0.000008472858,0.0003518838,0.00007268864,0.00003414264,0.00009975705],"domain_scores_gemma":[0.9994094,0.00004230439,0.0004948181,0.00002910398,0.00001308388,0.00001131591],"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":[0.000002123971,0.00002178154,0.0131538,0.00001340724,0.00001473922,7.10394e-8,0.02167238,0.0000110971,0.000005986074,0.9514401,0.0008437544,0.01282075],"study_design_scores_gemma":[0.0001178741,0.00005525019,0.6724188,0.00001088138,0.000001970887,0.000002817682,0.01661794,0.00003368789,0.00002129857,0.09845142,0.2121776,0.00009046441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876943,0.001105118,0.00001108009,0.002975496,0.0002487965,0.00002514087,0.000003119339,0.000001693026,0.007935208],"genre_scores_gemma":[0.99648,0.001279774,0.0001982586,0.0001192855,0.0002301418,0.000002253001,4.075381e-7,0.000002727192,0.001687174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8529887,"threshold_uncertainty_score":0.4772523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07390924501498432,"score_gpt":0.2731136967927226,"score_spread":0.1992044517777383,"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."}}