{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006652229,0.00005922869,0.0003045321,0.00004669011,0.0001285124,0.00003126317,0.0001631986,0.0000224458,0.00003053277],"category_scores_gemma":[0.001348561,0.00004555263,0.00002979864,0.0003775724,0.001264347,0.0001109906,0.0000998666,0.00003700933,0.00001258355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008973386,"about_ca_system_score_gemma":0.00000815436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181733,"about_ca_topic_score_gemma":0.00004956527,"domain_scores_codex":[0.9992021,0.000005278826,0.0004499374,0.0001602787,0.00004822296,0.0001341761],"domain_scores_gemma":[0.9990161,0.000604031,0.0002198426,0.00008526832,0.00005852019,0.00001625876],"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":[0.000002622439,0.00007037017,0.004109161,0.0002504044,0.00001286828,1.590706e-7,0.002601338,0.0002557554,0.000002920322,0.9900545,0.00003849018,0.002601361],"study_design_scores_gemma":[0.0002257164,0.00002846043,0.008168068,0.00007762755,0.000002505682,4.875387e-7,0.0009064374,0.02050071,0.000003908759,0.9699439,0.00007865782,0.00006356516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604611,0.02107455,0.102494,0.001134046,0.0001769246,0.000823052,0.0000510771,0.00001181195,0.01377348],"genre_scores_gemma":[0.9972191,0.0006547798,0.001978856,0.00004329809,0.00001953146,0.00006292327,3.669206e-7,0.000002530998,0.00001864954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.136758,"threshold_uncertainty_score":0.4658539,"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."}}