{"id":"W7117468240","doi":"10.3390/jrfm19010019","title":"Does International Green Finance Accelerate Green Innovation? Catalysts for Fostering CO2 Reduction in Developing Economies","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Colombiano de Bienestar Familiar","keywords":"Developing country; Cointegration; Panel data; Green innovation; Green economy; Green growth; Sustainable development; Greenhouse gas; Additionality","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":[0.00155102,0.000222723,0.0002647023,0.0009420826,0.0004403579,0.002610191,0.0002180497,0.0007037923,0.005039704],"category_scores_gemma":[0.00514304,0.0001031139,0.0005036247,0.0009140261,0.001115232,0.002420855,0.001498278,0.001303213,0.0002633307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727745,"about_ca_system_score_gemma":0.002079645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004992509,"about_ca_topic_score_gemma":0.005417581,"domain_scores_codex":[0.9996508,0.00008092453,0.00001548445,0.00003476467,0.00006284739,0.0001551828],"domain_scores_gemma":[0.9973845,0.0008082771,0.001058035,0.0001034302,0.000328023,0.0003176804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006172181,0.0004915273,0.4858062,0.00069936,0.0002968349,0.001390485,0.001069441,0.03853463,0.004001105,0.3204962,0.01623505,0.130362],"study_design_scores_gemma":[0.0001440065,0.0003993014,0.723778,0.000818025,0.0004077256,0.0003310539,0.003445351,0.0374034,0.01325788,0.1304408,0.08947404,0.0001003605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984221,0.004913308,0.007785976,0.02077808,0.0002376794,0.00007765101,0.0008013682,0.0001251063,0.0668587],"genre_scores_gemma":[0.9964375,0.001392666,0.0004864076,0.0002509936,0.00004439596,0.000008670455,0.00006513578,0.000006344341,0.00130782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005039704,"threshold_uncertainty_score":0.01685947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068628197372907,"score_gpt":0.227735485614579,"score_spread":0.2070492036408499,"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."}}