{"id":"W3123254534","doi":"10.1080/17446540600706809","title":"Speculative opportunities for currency exchange under soft peg","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics Letters","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Currency; Exchange rate; Monetary economics; Economics; Foreign exchange market; PEG ratio; International economics; Finance","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":[0.0009790652,0.00035673,0.0004106291,0.0004072176,0.000386711,0.001509609,0.0003732307,0.0006606001,0.002287295],"category_scores_gemma":[0.008294586,0.0002587844,0.0003590308,0.0002669435,0.00109851,0.00286396,0.001029148,0.0009358396,0.0001630743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651069,"about_ca_system_score_gemma":0.000371865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125074,"about_ca_topic_score_gemma":0.0002209046,"domain_scores_codex":[0.9996114,0.0001520527,0.00003162157,0.00005297177,0.00006807726,0.00008398999],"domain_scores_gemma":[0.995941,0.001815979,0.001568699,0.0002185176,0.0001241899,0.0003316297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001195368,0.0001398544,0.01576747,0.0001996283,0.0001294332,0.002368649,0.000800881,0.1686279,0.01714264,0.761798,0.001104614,0.03072562],"study_design_scores_gemma":[0.0001539243,0.0003170617,0.00424374,0.00002965473,0.00004693467,0.0007542384,0.0004932207,0.5676022,0.003757061,0.421245,0.001308139,0.00004874619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188256,0.000244844,0.07290051,0.0004335223,0.00002123446,0.00002701007,0.00004372388,0.00008098621,0.007422607],"genre_scores_gemma":[0.9982725,0.00006781745,0.001258917,0.000009980415,0.000006587133,0.00000733456,0.00000870562,0.00000392754,0.0003642902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002287295,"threshold_uncertainty_score":0.007651746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04974588431797652,"score_gpt":0.2111187136571585,"score_spread":0.161372829339182,"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."}}