{"id":"W2950153619","doi":"10.5430/ijfr.v10n5p161","title":"Formulating and Estimating of Dynamic Nonlinear Model of Korea’s Bilateral Trade Balance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Namseoul University","keywords":"Balance of trade; Economics; Indonesian; International economics; Exchange rate; Volatility (finance); Currency; Liberian dollar; Oil price; Monetary economics; Bilateral trade; Balance (ability); Econometrics","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":[0.000564262,0.000521601,0.0005195824,0.0006712925,0.0002985712,0.001194889,0.0006381657,0.0008788209,0.003861476],"category_scores_gemma":[0.00169228,0.0005608529,0.0007526876,0.0006594776,0.0002766969,0.001234524,0.0006711787,0.0009153791,0.0004698332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009838608,"about_ca_system_score_gemma":0.001411479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03018796,"about_ca_topic_score_gemma":0.02348472,"domain_scores_codex":[0.9998036,0.0000537788,0.00001419766,0.00007093144,0.00002488081,0.00003264145],"domain_scores_gemma":[0.9997051,0.0001490178,0.00007005552,0.00001491431,0.00004302532,0.00001780513],"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":[0.000027339,0.0000315139,0.01237209,0.00006336038,0.00005403224,0.0003132162,0.00009402285,0.9567983,0.0008515884,0.0168107,0.0008901795,0.01169379],"study_design_scores_gemma":[0.000008251391,0.00001042914,0.001820373,0.000008906866,0.0000124047,0.0000365224,0.00003841726,0.9924989,0.0001158914,0.004748201,0.0006924098,0.000009183512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4604527,0.000697109,0.5216734,0.001054598,0.00007092544,0.0001203022,0.002335479,0.0003703342,0.01322513],"genre_scores_gemma":[0.9570212,0.0004565579,0.03290502,0.00006794753,0.00003007067,0.0001379596,0.001706882,0.00006188062,0.007612321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03018796,"threshold_uncertainty_score":0.0600245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389239226202581,"score_gpt":0.3384394978007449,"score_spread":0.2845471055387191,"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."}}