{"id":"W4362428309","doi":"10.52300/grow.v5i2.4496","title":"Effect of Exports, Government Expenditures and Inflation on Economic Growth in Central Kalimantan","year":2022,"lang":"en","type":"article","venue":"Journal Magister Ilmu Ekonomi Universtas Palangka Raya GROWTH","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Economics; Government expenditure; Government (linguistics); Time series; Quarter (Canadian coin); Regression analysis; Descriptive statistics; Government spending; Econometrics; Macroeconomics; Monetary economics; Public finance; Statistics; Mathematics; Geography; Market economy","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":[0.0003674682,0.0002666497,0.0002206316,0.0006801793,0.000348697,0.001011206,0.0001490764,0.0001506083,0.001388768],"category_scores_gemma":[0.001393552,0.00009692963,0.0002840079,0.001203457,0.0003278771,0.0004531093,0.0006468496,0.0004586096,0.0001665297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106063,"about_ca_system_score_gemma":0.001297485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04260697,"about_ca_topic_score_gemma":0.05420444,"domain_scores_codex":[0.9996496,0.00007654227,0.00003594214,0.00005336051,0.00008623337,0.00009823771],"domain_scores_gemma":[0.9991776,0.0002230835,0.0003027761,0.0000300668,0.0001634724,0.0001030213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117465,0.00007755268,0.9825903,0.00005710109,0.0001204108,0.0006558936,0.000985153,0.0009635556,0.0005003563,0.0009680712,0.0005943599,0.01236989],"study_design_scores_gemma":[0.000002295637,0.00001972331,0.9966607,0.00001882961,0.00004231503,0.00007678011,0.001252597,0.000840487,0.0001453907,0.0001340527,0.0008006521,0.000006112877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958791,0.0003910996,0.00004403241,0.000300849,0.000008331245,0.000002198442,0.0002145945,0.00000566848,0.00315416],"genre_scores_gemma":[0.99909,0.0002345374,0.00002955338,0.0000115514,0.000005522565,0.000001985751,0.0001554233,0.000001392441,0.0004701102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04260697,"threshold_uncertainty_score":0.08471793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009031884149671888,"score_gpt":0.1942777570332713,"score_spread":0.1852458728835994,"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."}}