{"id":"W3084734385","doi":"10.35448/jequ.v10i1.8577","title":"STUDI EMPIRIS PENGARUH HARGA MINYAK MENTAH DUNIA DAN VARIABEL MONETER TERHADAP PEREKONOMIAN INDONESIA PERIODE 1996-2018","year":2020,"lang":"id","type":"article","venue":"Jurnal Ekonomi-Qu","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Quarter (Canadian coin); Economics; Indonesian; Context (archaeology); Vector autoregression; Error correction model; Value (mathematics); Descriptive statistics; Economy; Econometrics; Geography; Mathematics; Statistics; Cointegration","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":[0.0006360942,0.0002578665,0.0002856228,0.0009710069,0.0004331617,0.001456618,0.0001634889,0.0001474917,0.004845134],"category_scores_gemma":[0.001170539,0.0001491728,0.0002155651,0.001992632,0.0002932523,0.001075555,0.000423199,0.0005822639,0.001126462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007561647,"about_ca_system_score_gemma":0.001032219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139415,"about_ca_topic_score_gemma":0.009880369,"domain_scores_codex":[0.9997265,0.00005322804,0.00003314796,0.00006660858,0.00007981435,0.00004067928],"domain_scores_gemma":[0.9993937,0.0002202018,0.0001611573,0.00004209255,0.0001323254,0.00005047904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002873747,0.0002888629,0.7547342,0.0008004842,0.0002178699,0.001163107,0.007893344,0.002637653,0.001421367,0.01177445,0.01753663,0.2012447],"study_design_scores_gemma":[0.0000125275,0.0001080514,0.9148296,0.000488307,0.0001289766,0.0004668993,0.01093842,0.00205533,0.002093806,0.002257214,0.06659246,0.00002847403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948476,0.006142874,0.001392314,0.0012976,0.0001328194,0.00004191372,0.003555067,0.00004006455,0.03892137],"genre_scores_gemma":[0.9859676,0.004102092,0.0005791007,0.00006195427,0.00004914428,0.00003090171,0.001695421,0.00001371783,0.00750018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007139415,"threshold_uncertainty_score":0.01620859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419193041281737,"score_gpt":0.2249121009636317,"score_spread":0.1807201705508143,"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."}}