{"id":"W2489636935","doi":"10.1002/9781119198161.ch20","title":"Cross Rate Statistics","year":2012,"lang":"en","type":"other","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Table (database); Position (finance); Economics; Member states; International economics; Monetary economics; Statistics; Geography; European union; Mathematics; Computer science; 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":[0.005904234,0.0008677821,0.0008227858,0.01388379,0.0006960768,0.002925399,0.001321417,0.0005905404,0.07995158],"category_scores_gemma":[0.03216226,0.0002863125,0.000762957,0.0174565,0.0002989931,0.002292244,0.001549944,0.001287399,0.05354191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140052,"about_ca_system_score_gemma":0.001848708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008104341,"about_ca_topic_score_gemma":0.004550771,"domain_scores_codex":[0.9910745,0.001468337,0.001613886,0.001184025,0.004095833,0.000563379],"domain_scores_gemma":[0.9704911,0.006180063,0.004752276,0.00476465,0.01303476,0.0007771946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004384902,0.0001566873,0.05323027,0.0006371829,0.0001517863,0.0002244202,0.0005975653,0.00249488,0.0005558893,0.04029479,0.6791516,0.2220664],"study_design_scores_gemma":[0.00002973077,0.0001401536,0.05506346,0.0002929113,0.00004854709,0.0006295998,0.0004635093,0.001626358,0.0008256031,0.004533936,0.9362894,0.00005675762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03373595,0.004266548,0.03332347,0.001235929,0.002331661,0.000712475,0.6126008,0.00577088,0.3060223],"genre_scores_gemma":[0.08864884,0.004802197,0.02270516,0.0007185392,0.001284594,0.001012022,0.7471153,0.002465788,0.1312475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07995158,"threshold_uncertainty_score":0.2674647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08467960290438775,"score_gpt":0.2566743980405847,"score_spread":0.1719947951361969,"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."}}