{"id":"W2975787972","doi":"10.6000/1929-7092.2019.08.65","title":"Have Sentiments Influenced Malaysia’s Stock Market Volatility During the 2008 Crisis?","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stock market; Monetary economics; Economics; Financial crisis; Stock market volatility; Financial economics; Stock (firearms); Financial system; Business; Keynesian economics; History","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":[0.0006060428,0.0001878644,0.0001979051,0.0004739754,0.0001774437,0.001092528,0.0001457722,0.0003836401,0.001016256],"category_scores_gemma":[0.002372501,0.0001387144,0.0001988573,0.0004858852,0.0002601596,0.000712349,0.0004204792,0.0004949798,0.0002421668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000615076,"about_ca_system_score_gemma":0.0003907342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256119,"about_ca_topic_score_gemma":0.01959385,"domain_scores_codex":[0.9997975,0.00005424126,0.00002307079,0.00003277598,0.00003299416,0.00005938473],"domain_scores_gemma":[0.9982864,0.0002640169,0.00107334,0.00003527423,0.0001766715,0.0001642813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000164194,0.00004197539,0.9926252,0.00002533252,0.00005737601,0.0001301305,0.0005567564,0.0002722576,0.0004360685,0.000188175,0.0004513647,0.005051175],"study_design_scores_gemma":[0.00000145607,0.00002308541,0.9985905,0.000008226656,0.00001083287,0.00002471076,0.0005864688,0.0003882869,0.00009464161,0.00003659265,0.0002316698,0.000003441746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985076,0.0002132228,0.00002405501,0.0002750927,0.000008920646,0.000002718302,0.000127756,0.000001412657,0.0008393154],"genre_scores_gemma":[0.999509,0.0001630349,0.00001619771,0.00003404652,0.00001082138,0.000001290783,0.00007989773,9.662832e-7,0.0001847396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01256119,"threshold_uncertainty_score":0.02497613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193410067009892,"score_gpt":0.2415072153478061,"score_spread":0.2195731146777072,"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."}}