{"id":"W1519222000","doi":"","title":"ANALISIS JUMLAH UANG BEREDAR M2 DAN TINGKAT SUKU BUNGA TERHADAP PERTUMBUHAN EKONOMI DI KALIMANTAN BARAT","year":2013,"lang":"id","type":"article","venue":"Jurnal Curvanomic","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money supply; Interest rate; Economics; Quarter (Canadian coin); Regression analysis; Income elasticity of demand; Econometrics; Elasticity (physics); Variables; Agricultural economics; Monetary economics; Mathematics; Statistics; 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":[0.0005035047,0.0004443897,0.0003316847,0.001776634,0.0004382766,0.001075404,0.000214507,0.0001800404,0.008258438],"category_scores_gemma":[0.001097251,0.0001196566,0.0003725608,0.002779832,0.0002279313,0.0005617587,0.0004888359,0.0004347706,0.001508892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492167,"about_ca_system_score_gemma":0.0006028598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028357,"about_ca_topic_score_gemma":0.01280419,"domain_scores_codex":[0.9997169,0.00005503402,0.000031654,0.00005535458,0.00009636451,0.00004449936],"domain_scores_gemma":[0.9993561,0.0002598044,0.0001047955,0.00003051915,0.0002037873,0.00004487458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002612064,0.0001363892,0.8601459,0.0003375318,0.000200772,0.001152462,0.005249118,0.001431528,0.002517325,0.002922492,0.006375814,0.1192695],"study_design_scores_gemma":[0.000005923922,0.00007008799,0.9643639,0.0001223929,0.00008705472,0.0004634812,0.01312513,0.003096097,0.001600718,0.0004838402,0.01656238,0.00001909532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845615,0.0009173949,0.001247603,0.0002427299,0.00004221074,0.00002395806,0.001479517,0.00004177587,0.0114434],"genre_scores_gemma":[0.9904932,0.0005178174,0.0007505575,0.00002247322,0.0000174297,0.00003180877,0.001536303,0.0000155441,0.006614727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028357,"threshold_uncertainty_score":0.02762723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276783054409402,"score_gpt":0.2101565144396532,"score_spread":0.1873886838955592,"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."}}