{"id":"W4387446682","doi":"10.1016/j.jclepro.2023.139231","title":"Does green finance promote low-carbon economic transition?","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Green economy; China; Economics; Sustainability; Carbon finance; Finance; Low-carbon economy; Green growth; Economic system; Business; Natural resource economics; Sustainable development; Political science; Ecology","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":[0.002095833,0.0001516151,0.0002497163,0.0006593786,0.0006897834,0.003578734,0.0003061216,0.002251789,0.01297906],"category_scores_gemma":[0.01075539,0.0001033039,0.0002350141,0.0006556273,0.001917692,0.002619645,0.0009717789,0.001953757,0.0006346751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204192,"about_ca_system_score_gemma":0.003620528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042587,"about_ca_topic_score_gemma":0.01378155,"domain_scores_codex":[0.9993895,0.0001494734,0.00001127148,0.00003614236,0.00011086,0.0003026047],"domain_scores_gemma":[0.9926652,0.003010287,0.001866278,0.0001885385,0.001037017,0.001232662],"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":[0.00285966,0.001676905,0.2032782,0.0003387492,0.0003004844,0.0009785332,0.0008435247,0.00648249,0.001204501,0.5370833,0.1000813,0.1448723],"study_design_scores_gemma":[0.0007420072,0.0006540404,0.462909,0.0006706842,0.0003256923,0.0002309619,0.006599315,0.01416803,0.005468187,0.3034745,0.2046486,0.000108903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5793984,0.004138893,0.00193131,0.3181807,0.001682995,0.0000510265,0.0007465445,0.0001073816,0.09376266],"genre_scores_gemma":[0.9926625,0.0006976207,0.00009447151,0.003564869,0.0003370811,0.000004669377,0.00004012103,0.000009065586,0.00258949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297906,"threshold_uncertainty_score":0.0434193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342335376889832,"score_gpt":0.198044973802038,"score_spread":0.1846216200331397,"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."}}