{"id":"W4323317394","doi":"10.3390/jrfm16030175","title":"Effect of Yield Spreads (State Bonds) on Economic Growth Performance in Indonesia","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Monetary economics; Vector autoregression; Exchange rate; Yield (engineering); Investment (military); Portfolio; Yield curve; Bond; Government bond; Portfolio investment; Government (linguistics); Foreign direct investment; Interest rate; Macroeconomics; Financial economics; Finance","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":[0.0009746983,0.0002212997,0.0001977619,0.0004847516,0.0001716445,0.001211147,0.000155551,0.000237374,0.001028683],"category_scores_gemma":[0.005838541,0.00008228872,0.0001953427,0.0007652288,0.000253518,0.0007239694,0.0005438869,0.0007416169,0.0002987677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375156,"about_ca_system_score_gemma":0.0003494173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007034271,"about_ca_topic_score_gemma":0.0046189,"domain_scores_codex":[0.9995925,0.0001284206,0.00004989986,0.00005950928,0.0001176281,0.00005202847],"domain_scores_gemma":[0.9958377,0.001318289,0.001712008,0.0001562655,0.0005870652,0.0003887252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005209596,0.0001747229,0.9556267,0.00002424711,0.00008006641,0.0004179841,0.0003374164,0.01409332,0.00170875,0.001062702,0.0006461565,0.02530698],"study_design_scores_gemma":[0.0000100961,0.0002609561,0.9770656,0.00001668759,0.0000426985,0.0001508735,0.0006427701,0.01893991,0.001454898,0.0005956404,0.0008033783,0.00001654113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977638,0.0001172287,0.000166129,0.00009416701,0.000005772418,0.000002225453,0.0001228359,0.00001217634,0.001715795],"genre_scores_gemma":[0.9994155,0.0001003749,0.00004001698,0.000004973414,0.000003775435,0.000001348154,0.0001383654,0.000002291293,0.0002933182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007034271,"threshold_uncertainty_score":0.01398665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005086106773931625,"score_gpt":0.179585783840827,"score_spread":0.1744996770668953,"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."}}