{"id":"W2279046396","doi":"10.21098/bemp.v18i4.572","title":"QUARTERLY OUTLOOK ON MONETARY, BANKING, AND PAYMENT SYSTEM IN INDONESIA: QUARTER I, 2016","year":2016,"lang":"en","type":"article","venue":"Bulletin of Monetary Economics and Banking","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Consumption (sociology); Economics; Financial system; Monetary economics; Government (linguistics); Financial stability; Financial market; Capital (architecture); Private consumption; Business; Finance; Fiscal policy","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":[0.0005978608,0.0005464858,0.0003362672,0.001054603,0.0002877945,0.002096198,0.0002246137,0.0004624766,0.006148973],"category_scores_gemma":[0.001403097,0.0002205613,0.0002021439,0.002276698,0.0001637066,0.001331677,0.0006961756,0.001093222,0.007942784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189674,"about_ca_system_score_gemma":0.001115513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287455,"about_ca_topic_score_gemma":0.01297276,"domain_scores_codex":[0.999679,0.00002620187,0.00005097992,0.00003003361,0.0001508135,0.00006297857],"domain_scores_gemma":[0.999173,0.00002896942,0.0002891467,0.00002056591,0.0003535271,0.0001346867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007213507,0.0002023605,0.1914182,0.001182117,0.00008441479,0.0005992519,0.0007478821,0.002852407,0.003126162,0.009093287,0.5935807,0.1963918],"study_design_scores_gemma":[0.00003075463,0.0001246324,0.5530931,0.0004902192,0.00005241671,0.0005149972,0.001459507,0.002204977,0.002498796,0.001830279,0.4376495,0.00005077408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4557153,0.05388138,0.001462207,0.02454744,0.009721601,0.0001135436,0.2980629,0.0009795247,0.1555161],"genre_scores_gemma":[0.6804737,0.05472882,0.001574048,0.001208168,0.002099642,0.0001172187,0.1295554,0.0001995597,0.1300435],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01287455,"threshold_uncertainty_score":0.02559918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021316751700784,"score_gpt":0.1680928755093432,"score_spread":0.1578797079923353,"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."}}