{"id":"W4312563205","doi":"10.24036/ecosains.11574257.00","title":"Pengaruh Inflasi, Tingkat Bunga, Emas Dunia, dan Utang Luar Negeri Terhadap Nilai Tukar Rupiah","year":2020,"lang":"en","type":"article","venue":"Ecosains Jurnal Ilmiah Ekonomi dan Pembangunan","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Exchange rate; Variables; Economics; Foreign exchange; Inflation rate; Quarter (Canadian coin); Ordinary least squares; Interest rate; Variable (mathematics); Monetary economics; Econometrics; Mathematics; Statistics; Physics; 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":[0.0007739408,0.0004738787,0.0004959312,0.0006138257,0.0008005275,0.002657302,0.0002624692,0.000310135,0.005486107],"category_scores_gemma":[0.00163277,0.0002099269,0.000336586,0.001164269,0.0004260312,0.001306832,0.000914391,0.001225544,0.001765019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007032995,"about_ca_system_score_gemma":0.001758775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931521,"about_ca_topic_score_gemma":0.004803423,"domain_scores_codex":[0.9996475,0.00007861436,0.00004597209,0.00007145731,0.00009284544,0.00006362749],"domain_scores_gemma":[0.9990857,0.0002922055,0.0002737073,0.00005057154,0.0001930007,0.000104968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061011,0.0009350848,0.5122541,0.00199765,0.0003732234,0.005879421,0.009295862,0.004038178,0.008264878,0.01642363,0.01392378,0.4255532],"study_design_scores_gemma":[0.0000753981,0.0006934406,0.809925,0.0009131,0.0005514021,0.004754564,0.0256549,0.00859036,0.01015188,0.005717008,0.1328308,0.0001421434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332078,0.005494464,0.001902621,0.002653538,0.0003526607,0.00005231441,0.0007934814,0.0001068916,0.05543616],"genre_scores_gemma":[0.9785025,0.004668212,0.001615797,0.0002291939,0.00009609151,0.00004812067,0.0006557564,0.00002514838,0.01415915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005486107,"threshold_uncertainty_score":0.01835281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316244387425226,"score_gpt":0.211040739825149,"score_spread":0.1778782959508967,"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."}}