{"id":"W3121913232","doi":"","title":"The Changing Relation Between the Canadian and U.S. Yield Curves","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield curve; Yield (engineering); Economics; Vector autoregression; Term (time); Econometrics; Cross country; Bond; Monetary policy; Monetary economics; Interest rate; International economics; Physics; Finance","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":[0.001029236,0.0002316365,0.0002364408,0.003308772,0.001136417,0.002564455,0.0004120472,0.0004015031,0.002710898],"category_scores_gemma":[0.01191529,0.0001411781,0.0002749659,0.008144973,0.0007171206,0.0007690771,0.0007379671,0.0006950499,0.0002474954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637575,"about_ca_system_score_gemma":0.009970533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.961072,"about_ca_topic_score_gemma":0.959178,"domain_scores_codex":[0.9993615,0.00004141248,0.00002560572,0.000118745,0.000305099,0.0001477276],"domain_scores_gemma":[0.9927381,0.0009714364,0.00100451,0.0002266076,0.004573539,0.0004858245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002864712,0.00004687127,0.8066689,0.0001052999,0.000188214,0.0003000143,0.003377687,0.01329841,0.002118537,0.04743376,0.01349147,0.1126843],"study_design_scores_gemma":[0.000004097125,0.00001434471,0.9763069,0.00003983011,0.00003922858,0.00005329879,0.001202605,0.004678283,0.0007215688,0.002212351,0.01469087,0.00003670194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437847,0.002584406,0.002255387,0.002915373,0.00005467923,0.00002474593,0.005772246,0.0001087994,0.04249969],"genre_scores_gemma":[0.9930502,0.001109207,0.0008307687,0.00009488807,0.00001855583,0.000004591326,0.002004552,0.00003628574,0.002850822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03892803,"threshold_uncertainty_score":0.1188149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196694123716031,"score_gpt":0.2871418862943748,"score_spread":0.1674724739227717,"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."}}