{"id":"W2558737041","doi":"10.15405/epsbs.2016.11.02.8","title":"Impact of Macroeconomic Policy Instruments and External Shock on Unemployment Rate in Malaysia","year":2016,"lang":"en","type":"article","venue":"The European Proceedings of Social & Behavioural Sciences","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Quarter (Canadian coin); Shock (circulatory); Inflation (cosmology); Unemployment rate; Misery index; Monetary policy; Okun's law; Inflation rate; Monetary economics; Oil price; Real gross domestic product; Macroeconomics; Supply shock","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005622826,0.0002021483,0.0003299539,0.0005747202,0.000273812,0.001233071,0.000134035,0.0003909921,0.001390206],"category_scores_gemma":[0.00160664,0.0001247732,0.000441229,0.0005677436,0.000230425,0.0004287691,0.0007128225,0.0006351474,0.0002578387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009507359,"about_ca_system_score_gemma":0.0008891785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621615,"about_ca_topic_score_gemma":0.02270475,"domain_scores_codex":[0.9996277,0.00009128494,0.00004546919,0.00003817987,0.0000472286,0.000150148],"domain_scores_gemma":[0.999063,0.0001338684,0.0004868057,0.00002594229,0.0001433427,0.0001471527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000465559,0.0001205557,0.9782196,0.0001287418,0.0001779075,0.0004283513,0.0003090801,0.005560817,0.0009441662,0.001328672,0.0007451784,0.01157142],"study_design_scores_gemma":[0.000008609175,0.0000968571,0.9940664,0.00006630325,0.00005688861,0.00007309896,0.00073159,0.00309735,0.0004634851,0.0001680852,0.001157778,0.0000135168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968612,0.0007370134,0.00007167806,0.0003666028,0.00001418801,0.000004501175,0.0003683509,0.000005644225,0.001570931],"genre_scores_gemma":[0.9987105,0.0004728334,0.00002800481,0.00003415638,0.00001036231,0.000002519558,0.0002236848,0.000001677293,0.0005161886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621615,"threshold_uncertainty_score":0.05212712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08282636055058057,"score_gpt":0.3932041782753608,"score_spread":0.3103778177247802,"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."}}