{"id":"W3159187188","doi":"10.3390/jrfm14050207","title":"Effects of the 2008 Financial Crisis and COVID-19 Pandemic on the Dynamic Relationship between the Chinese and International Fossil Fuel Markets","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Pandemic; Coronavirus disease 2019 (COVID-19); Fossil fuel; Economics; Financial market; Emerging markets; Financial system; Business; Finance; Macroeconomics; Internal medicine; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161533,0.0001258,0.0002718092,0.0001048337,0.0002933154,0.00006812028,0.0002190134,0.00007095179,0.00001456881],"category_scores_gemma":[0.002259037,0.00007446735,0.0001137148,0.0002269868,0.000117286,0.00008424195,0.0001958207,0.0003354396,5.012642e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006092263,"about_ca_system_score_gemma":0.00003707919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004422312,"about_ca_topic_score_gemma":0.0001022568,"domain_scores_codex":[0.9989664,0.0001161696,0.0005176317,0.0001885332,0.00008864616,0.0001226125],"domain_scores_gemma":[0.9981147,0.0009959062,0.0005934424,0.0001917005,0.00004348798,0.00006075305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007748396,0.00003694356,0.973424,0.00009506082,0.00003734203,0.000006156039,0.0003659682,0.00000816374,3.026136e-7,0.01757692,0.0004545802,0.007917095],"study_design_scores_gemma":[0.0005928532,0.00002823248,0.8366238,0.00002657117,0.00004003894,0.000008984473,0.00005149895,0.001186976,1.76745e-7,0.1538875,0.007484824,0.00006855292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843199,0.004721762,0.00675244,0.002986517,0.0004128785,0.0002111826,0.00008431083,0.000002689274,0.0005082661],"genre_scores_gemma":[0.9922826,0.006977224,0.0001088637,0.0003723035,0.00009960093,0.000005802558,0.000001293041,0.000006504285,0.0001457985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368002,"threshold_uncertainty_score":0.303669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165951090186572,"score_gpt":0.2442010478436951,"score_spread":0.2276059388250379,"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."}}