{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001933224,0.0006337215,0.0008766409,0.000535128,0.001414245,0.001206054,0.002699537,0.0005799474,0.00005707783],"category_scores_gemma":[0.0002199279,0.0006615543,0.0004525527,0.001248195,0.000580162,0.002640578,0.0005131925,0.001220671,0.0001402874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000851989,"about_ca_system_score_gemma":0.001307281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163719,"about_ca_topic_score_gemma":0.001836203,"domain_scores_codex":[0.9945754,0.0009324467,0.001122921,0.0009490704,0.0009714856,0.001448648],"domain_scores_gemma":[0.99615,0.0004828038,0.000812721,0.001668429,0.0004253489,0.0004607581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001435569,0.0002199077,0.9465835,0.00003478168,0.0001042749,0.00001739346,0.004160832,0.00004677566,0.0004702922,0.03726304,0.002727729,0.008227905],"study_design_scores_gemma":[0.001640264,0.0001888902,0.9130087,0.0001135466,0.00007182993,0.00002447297,0.009860317,0.0002891625,0.0002095791,0.00004735294,0.07370382,0.0008420254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467951,0.0003466019,0.00004084886,0.006174452,0.001265842,0.000988344,0.00001956177,0.0002828705,0.04408639],"genre_scores_gemma":[0.9963312,0.0005492433,0.00003649987,0.0009798633,0.0012239,0.0001471952,0.0001622146,0.0001053299,0.0004645777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07097609,"threshold_uncertainty_score":0.9998858,"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."}}