{"id":"W4225276355","doi":"10.3390/jrfm15030105","title":"Dynamic and Static Volatility Interruptions: Evidence from the Korean Stock Markets","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Stock (firearms); Econometrics; Stock exchange; Stock price; Financial economics; Monetary economics; Finance; Engineering; Series (stratigraphy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738851,0.0002464637,0.0003266842,0.00120151,0.0003404031,0.0009511467,0.0004479431,0.0004832379,0.001846312],"category_scores_gemma":[0.009139678,0.0002296284,0.0004056625,0.001153011,0.0005164219,0.001444507,0.0007688008,0.0008571119,0.0002391408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433454,"about_ca_system_score_gemma":0.0002582092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745099,"about_ca_topic_score_gemma":0.003105246,"domain_scores_codex":[0.9994242,0.00009634805,0.00007604464,0.0001090885,0.0002055602,0.00008885247],"domain_scores_gemma":[0.9862137,0.004132777,0.006629218,0.001106466,0.001044455,0.0008733689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001274409,0.0004667423,0.9525735,0.0001408518,0.0003713235,0.0006969793,0.0009514303,0.001162942,0.00326684,0.001984017,0.0007128167,0.03639812],"study_design_scores_gemma":[0.00005813255,0.0004476465,0.9914821,0.0000234821,0.0002022731,0.000350258,0.0009059958,0.002930761,0.001094223,0.0008260104,0.001648178,0.000030943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982839,0.0003156285,0.0001673513,0.00006049454,0.000003843054,0.000008952923,0.0001111124,0.000005075242,0.001043622],"genre_scores_gemma":[0.9993712,0.0001911894,0.00009846769,0.00002968068,0.00001303345,0.000002724566,0.0001845643,0.00000222176,0.000106964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003745099,"threshold_uncertainty_score":0.009195983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306405948143678,"score_gpt":0.2263773293833232,"score_spread":0.2033132699018864,"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."}}