{"id":"W4319289149","doi":"10.1108/cfri-06-2022-0094","title":"The dynamics of oil prices, uncertainty measures and unemployment: a time and frequency approach","year":2023,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Econometrics; Nexus (standard); Coherence (philosophical gambling strategy); Wavelet; Oil price; Investment (military); Financial economics; Macroeconomics; Statistics; Mathematics; Monetary economics; Computer science; Political science","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":[0.001250412,0.0002139394,0.0003311375,0.001819579,0.0003737431,0.001585413,0.0004362568,0.0006582092,0.002748102],"category_scores_gemma":[0.007709482,0.0001788108,0.0004659169,0.001721531,0.0007257343,0.001477086,0.0009626247,0.000764787,0.0002033655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005835315,"about_ca_system_score_gemma":0.0003112173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007142721,"about_ca_topic_score_gemma":0.003657303,"domain_scores_codex":[0.9994224,0.0002238026,0.00003737322,0.0001140345,0.000128746,0.00007355572],"domain_scores_gemma":[0.996888,0.00186869,0.0007679252,0.0002014468,0.0001721647,0.0001017842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004719952,0.0003085779,0.6586968,0.0002668421,0.0008867153,0.001136922,0.003810694,0.07004759,0.003988098,0.1260823,0.002741516,0.1315618],"study_design_scores_gemma":[0.00002413723,0.0002937178,0.6420201,0.0001925031,0.0002149334,0.0004820976,0.004522783,0.2772892,0.0008762348,0.06316727,0.01080166,0.0001153389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538348,0.001340902,0.03536366,0.001251404,0.00007016641,0.00003653694,0.0004966908,0.00003913305,0.007566649],"genre_scores_gemma":[0.9960403,0.0003332102,0.002621399,0.00005027048,0.00006392409,0.00001807521,0.0001348106,0.000007727806,0.0007302341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007142721,"threshold_uncertainty_score":0.0142023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956882245593984,"score_gpt":0.2347369127095972,"score_spread":0.2151680902536573,"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."}}