{"id":"W2618244727","doi":"10.30908/bilp.v7i1.96","title":"PENGARUH NILAI TUKAR TERHADAP EKSPOR INDONESIA","year":2013,"lang":"id","type":"article","venue":"Buletin Ilmiah Litbang Perdagangan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085764,0.0003145336,0.0003257291,0.0007305855,0.0004310807,0.002179359,0.0002784894,0.0001816344,0.004151068],"category_scores_gemma":[0.00188284,0.0001854629,0.000446938,0.002368242,0.000267167,0.0009809915,0.0007443854,0.0005933478,0.001172113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649277,"about_ca_system_score_gemma":0.001139288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512115,"about_ca_topic_score_gemma":0.03148333,"domain_scores_codex":[0.999343,0.000101759,0.00008440732,0.0001598326,0.0002018963,0.000108998],"domain_scores_gemma":[0.998183,0.0004705926,0.0006094369,0.0001744739,0.0004642213,0.00009827279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001781512,0.0001075594,0.9237393,0.0002065963,0.0002346215,0.0005081258,0.003180739,0.002567632,0.0009560016,0.002078998,0.004178892,0.06206339],"study_design_scores_gemma":[0.000006411699,0.00004541728,0.9709863,0.0001053302,0.0001255098,0.0002090776,0.00415129,0.001506395,0.00128035,0.0003487041,0.02121631,0.00001899329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722365,0.00114938,0.001368374,0.0005196626,0.00003558618,0.00002134673,0.003842972,0.00004720143,0.02077903],"genre_scores_gemma":[0.9813251,0.001346294,0.0006545677,0.00007977583,0.00002125634,0.00002232776,0.004310063,0.00002869482,0.01221169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02512115,"threshold_uncertainty_score":0.04994988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717021787430728,"score_gpt":0.1935581018170337,"score_spread":0.1763878839427264,"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."}}