{"id":"W2975844890","doi":"10.24843/eeb.2019.v08.i08.p06","title":"PERKEMBANGAN INDIKATOR MAKRO EKONOMI KOTA BANDUNG KUARTA II-2019","year":2019,"lang":"en","type":"article","venue":"E-Jurnal Ekonomi dan Bisnis Universitas Udayana","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; Descriptive statistics; Quarter (Canadian coin); Inflation rate; Commodity; Econometrics; Macroeconomics; Interest rate; Geography; Statistics; Mathematics","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":[0.0002576504,0.0003921911,0.0002452991,0.000745707,0.0008317762,0.001887604,0.0002556442,0.0002980798,0.01056573],"category_scores_gemma":[0.000377479,0.0001571198,0.0002111593,0.001405588,0.0002578682,0.0006030342,0.000840649,0.0005264522,0.003368062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343084,"about_ca_system_score_gemma":0.002668544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01393588,"about_ca_topic_score_gemma":0.02993239,"domain_scores_codex":[0.9998373,0.00001968466,0.00001406551,0.00002401362,0.00004396232,0.00006093083],"domain_scores_gemma":[0.9998541,0.00002243919,0.00003517206,0.00001000844,0.000049457,0.00002887479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008699133,0.0005479624,0.2230355,0.003476113,0.0001987742,0.004678702,0.00586287,0.00302319,0.01356323,0.02972182,0.1017744,0.6132475],"study_design_scores_gemma":[0.00001963682,0.0001286744,0.4399476,0.001251211,0.0001246218,0.002251547,0.0107957,0.001223117,0.005778895,0.001883505,0.5365203,0.00007508549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7401428,0.02527357,0.002715644,0.004112531,0.0008194238,0.0002322458,0.01163942,0.000443351,0.214621],"genre_scores_gemma":[0.8249314,0.0181708,0.004666097,0.000692655,0.0001200306,0.0003170036,0.01005475,0.0001098308,0.1409374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01393588,"threshold_uncertainty_score":0.03534585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096128317755981,"score_gpt":0.1720492338121161,"score_spread":0.1610879506345563,"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."}}