{"id":"W1555122473","doi":"10.3968/g4150","title":"Simulation of Exchange Rates of Nigerian Naira Against US Dollar, British Pound and the Euro Currency","year":2013,"lang":"en","type":"article","venue":"Studies in mathematical sciences","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pound (networking); Liberian dollar; Economics; Us dollar; Currency; Pound Sterling; Exchange rate; Value (mathematics); Monte Carlo method; Econometrics; Monetary economics; Mathematics; Statistics; Finance; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006579774,0.0003323691,0.0005499033,0.0005320084,0.0003845411,0.0006849869,0.0005125959,0.0009873888,0.002493509],"category_scores_gemma":[0.003718773,0.0002064548,0.0005876083,0.0006275223,0.0004045607,0.000611181,0.0004228349,0.000901242,0.0001552107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089857,"about_ca_system_score_gemma":0.0006050242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685002,"about_ca_topic_score_gemma":0.01012909,"domain_scores_codex":[0.9997928,0.0001027333,0.00001317095,0.00002490048,0.00002716037,0.00003922154],"domain_scores_gemma":[0.9972267,0.002111895,0.0002010653,0.00008687808,0.0002639995,0.0001095488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001561022,0.00004975375,0.006889552,0.00002959968,0.00003547828,0.0001553243,0.00004991406,0.9874243,0.0004181088,0.00297229,0.0003666212,0.001452989],"study_design_scores_gemma":[0.00002707787,0.00005500509,0.001479274,0.00001108503,0.00001564176,0.00003957824,0.00006708566,0.9964879,0.0004193546,0.001037322,0.000350141,0.00001047691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806026,0.0003498147,0.01058578,0.0003416814,0.00006070678,0.00002500943,0.0005924799,0.00008288238,0.007359131],"genre_scores_gemma":[0.9951164,0.0001548181,0.003247926,0.0000266196,0.00000655507,0.00002249667,0.0003716699,0.00001192848,0.001041623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685002,"threshold_uncertainty_score":0.03350389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07879339889027771,"score_gpt":0.315121346523034,"score_spread":0.2363279476327563,"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."}}