{"id":"W4415592122","doi":"10.1016/j.ribaf.2025.103182","title":"Dynamic nexus of clean energy metals, energy commodities and traditional assets: Multidimensional techniques and portfolio analysis","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Nexus (standard); Clean energy; Portfolio; Energy (signal processing); Clean technology; Renewable energy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001769166,0.0006173053,0.0007941611,0.002552869,0.0004159914,0.002346848,0.0006553321,0.0009089559,0.002688493],"category_scores_gemma":[0.008530406,0.0003218821,0.0009737131,0.002590105,0.0005990358,0.002077607,0.001566955,0.001179011,0.0001928497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006768449,"about_ca_system_score_gemma":0.0005053441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005570604,"about_ca_topic_score_gemma":0.004063465,"domain_scores_codex":[0.9993728,0.0003247604,0.00004234008,0.0001267338,0.00007283915,0.00006064161],"domain_scores_gemma":[0.9972599,0.001568171,0.0006734338,0.0002150946,0.000115025,0.0001682965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000181949,0.000274163,0.2150097,0.0001351473,0.00111072,0.0008163005,0.0004436773,0.5533805,0.001521523,0.1467468,0.002165343,0.07821409],"study_design_scores_gemma":[0.00001161395,0.00006496372,0.02715571,0.00003739472,0.0000559528,0.00009037324,0.0001959041,0.9072411,0.0002869102,0.06358769,0.00124399,0.00002840996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831904,0.001652968,0.1589581,0.001487196,0.0000353892,0.00007868747,0.0008997261,0.00009426768,0.004889759],"genre_scores_gemma":[0.9842108,0.0005373093,0.01350812,0.00003273466,0.00003644669,0.00004785995,0.0004723287,0.00001107665,0.00114324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005570604,"threshold_uncertainty_score":0.01107633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398502966952115,"score_gpt":0.299832226425872,"score_spread":0.2558471967563508,"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."}}