{"id":"W3027156300","doi":"","title":"A study on the factors effecting yield spread of 10 years Malaysian Government Securities / Mohd Amin Abdullah","year":2011,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government bond; Bond; Yield (engineering); Interest rate; Government (linguistics); Quarter (Canadian coin); Bond market; Economics; Yield curve; Gross domestic product; Monetary economics; Business; Financial economics; Finance; Macroeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002305775,0.0001674896,0.0002821537,0.0001351488,0.0003989699,0.00003145299,0.0003211835,0.0001223389,0.0002026613],"category_scores_gemma":[0.000351134,0.0001631003,0.0001434063,0.0002933755,0.0003191529,0.0002370333,0.0001500659,0.0001902665,0.0000490118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925149,"about_ca_system_score_gemma":0.00004331058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007933324,"about_ca_topic_score_gemma":0.00007278691,"domain_scores_codex":[0.9989449,0.00002551494,0.0003307631,0.0003232033,0.000155393,0.0002202453],"domain_scores_gemma":[0.9990018,0.0002373348,0.0003162854,0.0003462821,0.00005046355,0.00004784612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007809977,0.0002716831,0.3742027,0.000009117833,0.0001068891,0.0000673976,0.004008904,0.0000643283,0.00003489398,0.6205565,0.0002273341,0.0003721913],"study_design_scores_gemma":[0.0002519469,0.0004461078,0.9825927,0.00003677841,0.00002271802,0.000008064866,0.01056099,0.00004474716,0.0006309699,0.002460789,0.002747223,0.0001969664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419392,0.0001357022,0.0003270431,0.00006524107,0.0008885628,0.0003207748,0.0001763142,0.00004380453,0.0561034],"genre_scores_gemma":[0.9986069,0.00002389605,0.00009324417,0.000007237204,0.000112903,0.00001345522,0.000008647511,0.000009680019,0.001124014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6180957,"threshold_uncertainty_score":0.6651039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623975541949128,"score_gpt":0.2070892434998759,"score_spread":0.1508494880803846,"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."}}