{"id":"W3039563708","doi":"10.5430/ijfr.v11n3p139","title":"General Election and Stock Market Performance: A Malaysian Case","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General election; Stock market; Politics; Economics; Financial market; Financial system; Monetary economics; Business; Political science; Finance; Geography; Law; Context (archaeology)","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":[0.001301017,0.000326797,0.0003876287,0.001271004,0.0008987024,0.001776531,0.0005131508,0.001086558,0.005602578],"category_scores_gemma":[0.003135931,0.0002105871,0.0007402844,0.001561761,0.0009327031,0.0009763528,0.001085747,0.001652924,0.000670919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369229,"about_ca_system_score_gemma":0.0008406811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04775342,"about_ca_topic_score_gemma":0.04140266,"domain_scores_codex":[0.999283,0.0002450819,0.0000474019,0.00006805671,0.0000876101,0.0002689091],"domain_scores_gemma":[0.9959645,0.001572855,0.001402473,0.0001353109,0.000222272,0.0007026418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003591937,0.0005012152,0.9839243,0.00004665421,0.0001297056,0.003325005,0.0006280516,0.001428739,0.0001004374,0.003115968,0.001072417,0.005368292],"study_design_scores_gemma":[0.00007053643,0.0006025421,0.9763995,0.00008281063,0.0002181537,0.001726925,0.004231662,0.01165857,0.0002496916,0.001672331,0.003040821,0.00004634105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945428,0.0007215982,0.00007150181,0.0009714898,0.00001069329,0.00001455736,0.0002934133,0.000002512429,0.00337135],"genre_scores_gemma":[0.9983047,0.0004198424,0.00003015063,0.00003928361,0.00002673774,0.000004615378,0.0001647324,8.321441e-7,0.001008928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04775342,"threshold_uncertainty_score":0.09495091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07779636173807221,"score_gpt":0.3311796835513662,"score_spread":0.253383321813294,"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."}}