{"id":"W2909876807","doi":"10.24815/ekapi.v6i1.14255","title":"ANALISIS PENGARUH PERTUMBUHAN EKONOMI, INFLASI, DAN SUKU BUNGA TERHADAP KREDIT MACET DI INDONESIA","year":2019,"lang":"en","type":"article","venue":"Jurnal Ekonomi dan Kebijakan Publik Indonesia","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Economics; Monetary economics; Inflation (cosmology); Interest rate; Non-performing loan; Sample (material); Exchange rate; Econometrics; Macroeconomics; Loan","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007221929,0.0003638382,0.0005019277,0.001588472,0.0002768752,0.001907286,0.0002291376,0.0001896803,0.006180418],"category_scores_gemma":[0.001926239,0.0001374661,0.0003703168,0.002205628,0.0002576701,0.000722428,0.0004101662,0.0006131232,0.00184247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004413025,"about_ca_system_score_gemma":0.0006576079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005622291,"about_ca_topic_score_gemma":0.00497171,"domain_scores_codex":[0.9993888,0.0001027449,0.00008910584,0.000101663,0.0002556788,0.00006199246],"domain_scores_gemma":[0.9980657,0.0007505428,0.000411734,0.0001022891,0.0005309018,0.0001388851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003581657,0.0002797767,0.8505515,0.0006210705,0.0002320755,0.001313375,0.003103265,0.002246994,0.002278069,0.001761416,0.00976301,0.1274912],"study_design_scores_gemma":[0.000007336123,0.00008950524,0.9740168,0.0001283524,0.00009641096,0.0004166191,0.006238298,0.003313941,0.001183095,0.0006071017,0.01387486,0.00002748042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722034,0.001718186,0.001908805,0.0004937043,0.00009956209,0.00005746341,0.003921923,0.00008290562,0.01951413],"genre_scores_gemma":[0.9853389,0.001184702,0.001126164,0.00003868826,0.00004764714,0.00005114313,0.002487537,0.00002564758,0.009699519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006180418,"threshold_uncertainty_score":0.02067554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524503504999913,"score_gpt":0.2617433975389145,"score_spread":0.2464983624889153,"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."}}