{"id":"W2351018474","doi":"","title":"The Effect of Crude Oil Price to the Economic Growth of China:A Comparative Analysis between China and G7","year":2013,"lang":"en","type":"article","venue":"Future and Development","topic":"Geochemistry and Geochronology of Asian Mineral Deposits","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Renminbi; Economics; Index (typography); Crude oil; Commodity; Price index; Panel data; Agricultural economics; Real gross domestic product; Effective exchange rate; Distributed lag; International economics; Monetary economics; Macroeconomics; Econometrics; Exchange rate; Market economy; 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":[0.0006340508,0.0002709487,0.0003940473,0.0009437442,0.0002792463,0.0008119761,0.0002666416,0.0002958155,0.002180815],"category_scores_gemma":[0.001319532,0.0001444075,0.001088383,0.001617879,0.0003779107,0.0004823292,0.0004863272,0.0004531121,0.000270974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008491857,"about_ca_system_score_gemma":0.0008238648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05756563,"about_ca_topic_score_gemma":0.03327457,"domain_scores_codex":[0.9996836,0.00005709408,0.00001669186,0.00005256088,0.00006302795,0.0001270535],"domain_scores_gemma":[0.9984603,0.0006102117,0.0003285873,0.0001167314,0.0002362396,0.0002479125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005133108,0.00008745833,0.9702681,0.00006844986,0.0005989663,0.0009381818,0.0003378033,0.01063671,0.001626391,0.002559346,0.001741278,0.01062395],"study_design_scores_gemma":[0.00001601338,0.0001053968,0.9878982,0.000007105969,0.000143173,0.00006179525,0.0003365001,0.009651174,0.0005125223,0.0002571347,0.0009966822,0.00001431966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978967,0.0001597553,0.0001181006,0.0001395396,0.000006364918,0.000003593906,0.0004332553,0.00001107733,0.00123152],"genre_scores_gemma":[0.9982551,0.0001654809,0.0000319439,0.00002048402,0.000007451147,0.00000239307,0.0009467787,0.000002877007,0.0005675008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05756563,"threshold_uncertainty_score":0.1144611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005951994953999284,"score_gpt":0.1950356130091835,"score_spread":0.1890836180551843,"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."}}