{"id":"W4306405796","doi":"10.1111/1468-0106.12410","title":"Pandemic‐induced fear and government policy response as a measure of uncertainty in the foreign exchange market: Evidence from (a)symmetric wild bootstrap likelihood ratio test","year":2022,"lang":"en","type":"article","venue":"Pacific Economic Review","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rupee; Exchange rate; Economics; Liberian dollar; Foreign exchange market; Index (typography); Monetary economics; Government (linguistics); Financial economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0085755,0.0003295011,0.001030077,0.0003210689,0.0001680838,0.00007109044,0.0007151319,0.00009603208,0.001333719],"category_scores_gemma":[0.005091399,0.0003210462,0.0002217722,0.0007287296,0.00007675749,0.000295961,0.0002522485,0.0004475318,0.0001086706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936391,"about_ca_system_score_gemma":0.0003809725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167411,"about_ca_topic_score_gemma":0.0001456414,"domain_scores_codex":[0.9965542,0.000555978,0.001447917,0.000780033,0.0001700467,0.0004918332],"domain_scores_gemma":[0.9945316,0.003242248,0.001088714,0.000978954,0.00001791679,0.0001405211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002458564,0.0009240519,0.8108754,0.004820701,0.0006272967,0.00007386692,0.01327864,0.0003838775,0.001018521,0.02324775,0.04009741,0.1021939],"study_design_scores_gemma":[0.006454187,0.002434391,0.4687204,0.005447535,0.0002799843,0.0002469056,0.007017224,0.007312706,0.00008219216,0.04170784,0.4574395,0.002857156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5745191,0.3784899,0.00005030639,0.01272776,0.0003394875,0.003762854,0.002458328,0.00004938537,0.02760285],"genre_scores_gemma":[0.9106137,0.08608059,0.00002228509,0.002572399,0.00009398159,0.0003462641,0.00001156331,0.00003387066,0.0002253647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173421,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08098102085947435,"score_gpt":0.2947085551974749,"score_spread":0.2137275343380006,"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."}}