{"id":"W4312046943","doi":"10.4018/978-1-6684-5666-8.ch013","title":"Financial Integration and Comovements Between Capital Markets and Oil Markets","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in human resources management and organizational development book series","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capital market; China; Financial market; Business; Financial system; Capital (architecture); Economics; Economy; Finance; Geography","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":[0.0002237054,0.0002674726,0.0001801018,0.001052245,0.0001989554,0.001882947,0.0001718099,0.0002266033,0.00596791],"category_scores_gemma":[0.0008448037,0.0001216468,0.0001441292,0.002556438,0.0003346542,0.001708907,0.0003157549,0.0003630927,0.0007026028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981623,"about_ca_system_score_gemma":0.0003814739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856514,"about_ca_topic_score_gemma":0.004564068,"domain_scores_codex":[0.9999018,0.00001692398,0.000003512347,0.00001927547,0.00004585342,0.00001269978],"domain_scores_gemma":[0.9996343,0.0002500412,0.00005395512,0.00000981734,0.00003332303,0.00001850188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001662835,0.0001787401,0.1017186,0.0005117797,0.0001233665,0.0008235413,0.001866628,0.01218597,0.003198204,0.3862034,0.03880228,0.4542211],"study_design_scores_gemma":[0.00002263341,0.0001864989,0.3794394,0.0007289746,0.0001154693,0.0009263599,0.003128371,0.02428455,0.003954877,0.2216084,0.365517,0.00008743002],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4301082,0.09272652,0.01107884,0.003504569,0.0004401858,0.00005318242,0.002130212,0.0001621382,0.4597962],"genre_scores_gemma":[0.8408354,0.04673867,0.004290771,0.0002986683,0.0004433818,0.00004192703,0.001683659,0.00005018075,0.1056174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00596791,"threshold_uncertainty_score":0.01996464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008273871930563547,"score_gpt":0.1877700309294019,"score_spread":0.1794961589988384,"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."}}