{"id":"W6983269493","doi":"","title":"Malaysia’s Exchange Rate: Political Issue And Macroeconomic Impacts Of Malaysia’s Exchange","year":2022,"lang":"en","type":"other","venue":"Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)","topic":"Sociology and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Inflation (cosmology); Granger causality; Quarter (Canadian coin); Unit root test; Interest rate; Causality (physics); Politics; Regression analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0007851213,0.000957586,0.00136812,0.00168935,0.001611865,0.0001201624,0.001205797,0.001135972,0.02677801],"category_scores_gemma":[0.0001181925,0.001240886,0.0005589778,0.0008550214,0.004660123,0.0009820978,0.0009489815,0.001054714,0.0004076842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569158,"about_ca_system_score_gemma":0.001853602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006659737,"about_ca_topic_score_gemma":0.00001146306,"domain_scores_codex":[0.9944202,0.001037575,0.0006531223,0.001461383,0.000858345,0.001569315],"domain_scores_gemma":[0.9965625,0.0004665889,0.0009380417,0.0008189977,0.0003141334,0.0008997845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001132733,0.00122132,0.02981218,0.001870234,0.00419834,0.004550547,0.02982734,0.06971447,0.0005595854,0.2899596,0.566449,0.0007046689],"study_design_scores_gemma":[0.002304891,0.0003547788,0.0007738806,0.0003785765,0.001063115,0.0003367784,0.07289527,0.01069003,0.00004531422,0.0005885515,0.9087268,0.001842077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5650689,0.002309639,0.00002767406,0.002367605,0.001959509,0.0007848026,0.0005598085,0.000294571,0.4266275],"genre_scores_gemma":[0.7212799,0.002023235,0.0003339278,0.0006420119,0.002070018,0.00004329865,0.0004947186,0.0002322925,0.2728806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3422778,"threshold_uncertainty_score":0.999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685158998702938,"score_gpt":0.2649684337101765,"score_spread":0.2481168437231471,"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."}}