{"id":"W2080837835","doi":"10.5402/2012/658982","title":"The Information Content in Bank Currency Mismatches in Fixed Exchange Rate Regimes","year":2012,"lang":"en","type":"article","venue":"ISRN Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Currency; Foreign exchange risk; Credibility; Monetary economics; Moral hazard; Economics; Exchange rate; Devaluation; Argument (complex analysis); Exchange-rate regime; Business; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001055824,0.0001429968,0.0003011428,0.0001729462,0.00008132922,0.0001130237,0.0002275161,0.00009846689,0.00004719846],"category_scores_gemma":[0.000137165,0.0001401159,0.0000772261,0.0001311638,0.00004721895,0.0008131654,0.00006432037,0.0001405666,0.000833043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086684,"about_ca_system_score_gemma":0.00001898719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068715,"about_ca_topic_score_gemma":0.001865906,"domain_scores_codex":[0.9985713,0.00002036835,0.000779338,0.0001289352,0.00001179332,0.0004882036],"domain_scores_gemma":[0.9992679,0.00008444471,0.0003230128,0.0002489306,0.00001470171,0.00006104879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002556478,0.00005432562,0.3548281,0.00002310679,0.000009785841,2.227899e-7,0.003964319,0.00009638468,7.558833e-7,0.6277115,0.004732624,0.008553301],"study_design_scores_gemma":[0.000426935,0.00001621458,0.3521801,0.00001090517,0.000001201357,9.909808e-7,0.0006577034,0.0004704233,0.00002629823,0.009542479,0.6364775,0.0001893231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609747,0.004504018,0.00002949537,0.001820777,0.001159274,0.0002427297,0.0001182955,0.0000145945,0.03113613],"genre_scores_gemma":[0.9939291,0.004587287,0.00003826039,0.0007074715,0.0001384955,0.00004972111,0.00001917004,0.00001022751,0.0005202795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6317449,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05150008479368674,"score_gpt":0.2224895312711392,"score_spread":0.1709894464774525,"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."}}