{"id":"W2992208853","doi":"","title":"WHAT DRIVES SOUTH AFRICA’S DISAGGREGATED IMPORT DEMAND FUNCTION WITH TANZANIA? AN EMPIRICAL ANALYSIS","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tanzania; Cointegration; Economics; Exchange rate; Short run; International economics; Error correction model; Foreign direct investment; Volatility (finance); Investment (military); Monetary economics; Macroeconomics; 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":[0.0004941141,0.0002149785,0.000334681,0.0008443531,0.0002631859,0.001086725,0.00028892,0.0004562994,0.007905377],"category_scores_gemma":[0.002701787,0.0002364424,0.0005426487,0.00153794,0.0003088447,0.0006741767,0.0005882403,0.0005363612,0.0006847623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008136317,"about_ca_system_score_gemma":0.0004471415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169588,"about_ca_topic_score_gemma":0.01730493,"domain_scores_codex":[0.9998204,0.00005369115,0.00001355224,0.00003837473,0.00002210396,0.00005194102],"domain_scores_gemma":[0.9979322,0.001115118,0.0005462751,0.0001390031,0.0001460189,0.0001214571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764546,0.00009781768,0.9746386,0.00009337684,0.0002067333,0.0007377483,0.001843135,0.008280745,0.002308397,0.001779846,0.0006999624,0.009137301],"study_design_scores_gemma":[0.000007509206,0.00005294253,0.9810029,0.00003385512,0.00005603099,0.000194898,0.002813337,0.01382987,0.0002726817,0.0004101901,0.001310747,0.00001509913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988618,0.0001087558,0.0001575187,0.0000960539,0.000001299346,0.000003932287,0.0002462091,0.000006068645,0.0005182711],"genre_scores_gemma":[0.9988953,0.00006871207,0.0001105313,0.00001664504,0.000003382136,0.000004456601,0.0003863609,0.000004481598,0.0005101346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169588,"threshold_uncertainty_score":0.0337202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811673102469349,"score_gpt":0.3480861453012167,"score_spread":0.1669188350542819,"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."}}