{"id":"W2016744033","doi":"10.1016/j.energy.2014.06.028","title":"The transmission of fluctuant patterns of the forex burden based on international crude oil prices","year":2014,"lang":"en","type":"article","venue":"Energy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"China University of Geosciences, Beijing; Ministerstvo Školství, Mládeže a Tělovýchovy; National Natural Science Foundation of China","keywords":"Crude oil; Normalization (sociology); Foreign exchange market; Econometrics; Transmission (telecommunications); Exchange rate; Foreign exchange; Economics; Computer science; Petroleum engineering; Monetary economics; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007400566,0.0001549559,0.0002619919,0.0007715175,0.0002026845,0.001262428,0.0003243224,0.0006269225,0.002692631],"category_scores_gemma":[0.009428262,0.0003202341,0.000240959,0.0008612502,0.0004202363,0.001269202,0.0004866846,0.0007590519,0.0002790406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891222,"about_ca_system_score_gemma":0.000166321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004556075,"about_ca_topic_score_gemma":0.003426761,"domain_scores_codex":[0.9998463,0.0000431247,0.00001265297,0.00003581722,0.00003116751,0.00003098909],"domain_scores_gemma":[0.996564,0.001836679,0.000941507,0.0002505385,0.0002753496,0.0001319937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00227298,0.0002966122,0.6326129,0.0001650224,0.0005020113,0.001725965,0.001922603,0.1763399,0.02806963,0.09897643,0.00647738,0.05063855],"study_design_scores_gemma":[0.00003871099,0.000108301,0.7096559,0.00003353897,0.0000822308,0.0003627827,0.0006777672,0.2718488,0.002305583,0.01342352,0.001363493,0.0000994287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950164,0.00006430143,0.001765716,0.0002416362,0.00001122225,0.000004678673,0.0002135116,0.00003083298,0.002651599],"genre_scores_gemma":[0.9994301,0.00004297806,0.0001418174,0.000008027578,0.00000572077,0.000001253018,0.00008723512,0.000007062214,0.0002757152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004556075,"threshold_uncertainty_score":0.009059072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009311680012726713,"score_gpt":0.1945800791402577,"score_spread":0.185268399127531,"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."}}