{"id":"W4406179704","doi":"10.1111/twec.13678","title":"Analyzing Asymmetry in Exchange Rates of Arctic Nations in Response to Oil Price Shocks","year":2025,"lang":"en","type":"article","venue":"World Economy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil price; Asymmetry; Economics; Exchange rate; Arctic; The arctic; Monetary economics; Environmental science; Oceanography; Geology; Physics","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":[0.001425837,0.0002279492,0.0003531373,0.001037801,0.0002012139,0.0009984709,0.0001900018,0.0002712348,0.0009620109],"category_scores_gemma":[0.00421739,0.0001210592,0.0003407084,0.0009771209,0.0003011832,0.0005560412,0.0005886066,0.0004698526,0.0001214834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423006,"about_ca_system_score_gemma":0.0003486576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01830626,"about_ca_topic_score_gemma":0.01556653,"domain_scores_codex":[0.9997088,0.0001188876,0.00002232243,0.00004665742,0.00005442189,0.00004882889],"domain_scores_gemma":[0.9981698,0.0008383112,0.00055789,0.0001379308,0.0001939186,0.0001020371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007238404,0.00007512094,0.9018342,0.00004474572,0.0004463246,0.0005067298,0.0004758824,0.0713989,0.003291545,0.005352084,0.0005873175,0.01526329],"study_design_scores_gemma":[0.00001645876,0.0001020427,0.857683,0.00002510571,0.00009817649,0.0001703918,0.001277763,0.1342502,0.00178476,0.003088675,0.001460801,0.00004262724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978377,0.00005386951,0.0009920467,0.00005553124,0.000006425186,0.000002302615,0.0002724365,0.000006724874,0.0007729115],"genre_scores_gemma":[0.9992126,0.00003975229,0.0001827709,0.00000591448,0.00000438747,0.000001365356,0.0003915876,0.000001966233,0.0001595658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830626,"threshold_uncertainty_score":0.03639942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784306715215173,"score_gpt":0.2559828108140784,"score_spread":0.2381397436619267,"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."}}