{"id":"W7082633970","doi":"10.3390/jrfm18090529","title":"Assessing the Environmental Impact of Fiscal Consolidation in OECD Countries: Evidence from the Panel QARDL Approach","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Greenhouse gas; Granger causality; Panel data; Public finance; Fiscal policy; Quantile; Economic impact analysis","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":[0.004802593,0.000462345,0.0004685176,0.001715162,0.0004166575,0.00106879,0.000460544,0.0004464481,0.001385309],"category_scores_gemma":[0.006311361,0.000170856,0.001124302,0.003168403,0.0006782745,0.0007150103,0.001279793,0.000590983,0.0003183396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134426,"about_ca_system_score_gemma":0.001359996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07157288,"about_ca_topic_score_gemma":0.0420097,"domain_scores_codex":[0.9983218,0.0009926193,0.00007814244,0.0001479355,0.0002227279,0.0002366765],"domain_scores_gemma":[0.9919199,0.002695792,0.003192883,0.0008464861,0.001031849,0.0003131116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007258042,0.0002074433,0.9537076,0.0001813682,0.001044102,0.0003717635,0.0003016866,0.02156671,0.0001400723,0.001707582,0.003577399,0.01646835],"study_design_scores_gemma":[0.00009475384,0.0004859041,0.9721388,0.0001486941,0.0006752044,0.0001547777,0.001856773,0.01219068,0.0008649065,0.001478761,0.009860883,0.00004987636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861346,0.001637258,0.00149935,0.0005175,0.00003662154,0.00004774792,0.006832646,0.0000402133,0.003253937],"genre_scores_gemma":[0.9924406,0.0006550647,0.0005058702,0.0001225776,0.00002436221,0.00003893441,0.005795488,0.000005877321,0.0004112156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07157288,"threshold_uncertainty_score":0.1423126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828885489306656,"score_gpt":0.2567837736695789,"score_spread":0.2384949187765123,"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."}}