{"id":"W4413738695","doi":"10.1016/j.eneco.2025.108853","title":"A comparative study of mode decomposition methods in crude oil forecasting","year":2025,"lang":"en","type":"article","venue":"Energy Economics","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province; Youth Innovation Promotion Association; Chinese Academy of Sciences; National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Crude oil; Econometrics; Mode (computer interface); Decomposition; West Texas Intermediate; Economics; Environmental science; Statistics; Petroleum engineering; Mathematics; Computer science; Engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004672956,0.0006666257,0.0007174528,0.002104691,0.0003408896,0.001291385,0.0004805869,0.0006550321,0.001725798],"category_scores_gemma":[0.01071792,0.000252223,0.0007291235,0.001566581,0.0001872806,0.001555626,0.0004172356,0.0008126152,0.0004989899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277618,"about_ca_system_score_gemma":0.0005848659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180853,"about_ca_topic_score_gemma":0.008712245,"domain_scores_codex":[0.9988716,0.0007124177,0.00005353339,0.00008979411,0.000209716,0.00006285071],"domain_scores_gemma":[0.9874556,0.01064887,0.0002370837,0.0004019325,0.001138001,0.0001184836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00177955,0.0004570136,0.02398721,0.0002821155,0.0004934276,0.000069185,0.0002897682,0.2736534,0.006767018,0.00870618,0.002724994,0.6807902],"study_design_scores_gemma":[0.00001638654,0.000105035,0.005556539,0.00002216566,0.00003590345,0.00001940899,0.00007165364,0.9903389,0.001366918,0.001602336,0.0008467222,0.00001794958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.557698,0.007365609,0.4186831,0.00102486,0.0002579229,0.0001054533,0.0008756896,0.0008311862,0.01315817],"genre_scores_gemma":[0.8833885,0.002412681,0.1099588,0.00008509507,0.0001316729,0.0000370573,0.0006910752,0.0001721504,0.003123063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180853,"threshold_uncertainty_score":0.02471328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564628282353297,"score_gpt":0.3716602241435741,"score_spread":0.3360139413200411,"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."}}