{"id":"W7106802385","doi":"10.1016/j.jeca.2025.e00441","title":"Dynamic linkages between circular economy, green technologies, and energy transition under geopolitical shocks: Evidence from wavelet and non-parametric causality approaches","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Arab Emirates University","keywords":"Geopolitics; Causality (physics); Wavelet; Granger causality; Energy transition; Energy (signal processing); Transition (genetics)","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":[0.0009447668,0.0001716247,0.0003892203,0.0002080582,0.0001831533,0.00008511009,0.0004026101,0.0001495414,0.00001273337],"category_scores_gemma":[0.00007750931,0.0001232998,0.00006332227,0.0002246555,0.0006620878,0.0003924764,0.0002347992,0.0002428576,0.000004129043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342831,"about_ca_system_score_gemma":0.00005245549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002913205,"about_ca_topic_score_gemma":0.0004132537,"domain_scores_codex":[0.9987978,0.0001115031,0.0005186702,0.0002491313,0.00008906036,0.0002338049],"domain_scores_gemma":[0.9983652,0.001031388,0.0002616047,0.0002583429,0.00001064352,0.0000728361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001865649,0.0002167424,0.8397983,0.0004665392,0.001639351,0.00003335677,0.001901528,0.01874796,0.0008746099,0.02045751,0.0003781979,0.1152993],"study_design_scores_gemma":[0.0008044149,0.0002980162,0.7150796,0.000276767,0.0004548585,0.00009380155,0.004907664,0.126143,0.001631856,0.1493845,0.0004267739,0.0004986589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720622,0.002988659,0.02077252,0.003481515,0.00006754271,0.00008619938,0.00002494513,0.0000130647,0.000503323],"genre_scores_gemma":[0.99796,0.001374315,0.000456857,0.00009488787,0.0000243614,0.000002546094,0.000002341071,0.000007873741,0.0000768115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.128927,"threshold_uncertainty_score":0.5028021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658476287467863,"score_gpt":0.2295186987335511,"score_spread":0.2129339358588725,"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."}}