{"id":"W2890007411","doi":"10.3386/w23170","title":"Deviations from Covered Interest Rate Parity","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Parity (physics); Mathematics; Physics; Particle physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173575,0.0002289878,0.0005585917,0.0007381647,0.0002909928,0.001503118,0.0004642721,0.000658921,0.005333435],"category_scores_gemma":[0.02618604,0.0001587374,0.0003304141,0.0008411515,0.0007898174,0.001081838,0.001028235,0.001009553,0.0009076215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672361,"about_ca_system_score_gemma":0.0004199202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000955747,"about_ca_topic_score_gemma":0.000330176,"domain_scores_codex":[0.9986057,0.0002535658,0.0001468288,0.0003429343,0.0003880422,0.0002630104],"domain_scores_gemma":[0.9848128,0.005618255,0.005285805,0.002150018,0.00146211,0.0006710329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002259965,0.0002644573,0.7862459,0.000254066,0.0003732958,0.002590994,0.000994626,0.03188393,0.02464977,0.07920048,0.008590517,0.06269206],"study_design_scores_gemma":[0.0002846833,0.0006955294,0.7023112,0.0001241088,0.0001340968,0.005908989,0.001416679,0.1221502,0.02047148,0.1336725,0.01267032,0.0001603294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914097,0.0001319695,0.002782643,0.0002256062,0.00003372689,0.000009726034,0.0006380848,0.00008264858,0.00468596],"genre_scores_gemma":[0.9990351,0.00002622099,0.0002623933,0.00003196751,0.000008879971,0.000005104841,0.0004648608,0.000008974779,0.0001563911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005333435,"threshold_uncertainty_score":0.01784205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5287591252574085,"score_gpt":0.4863339758683226,"score_spread":0.04242514938908593,"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."}}