{"id":"W7017378529","doi":"","title":"ANALISIS PENGARUH KINERJA KEUANGAN DAN EKONOMI
\\nMAKRO TERHADAP PENYALURAN KREDIT PERBANKAN DI
\\nINDONESIA PERIODE 2010-2019","year":2021,"lang":"en","type":"dissertation","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Cultural and Artistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loan; Payment; Panel data; Distribution (mathematics); Quarter (Canadian coin); Return on assets; Regression analysis; Variables; Non-performing loan","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002884987,0.0004657368,0.0007256178,0.0001799287,0.005385288,0.0001179158,0.0007119745,0.0004109862,0.0006649763],"category_scores_gemma":[0.0002241081,0.0005169114,0.0005543486,0.0003721474,0.001064615,0.0004386805,0.0002532764,0.0004652742,0.00003787474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007313353,"about_ca_system_score_gemma":0.0009290046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02863835,"about_ca_topic_score_gemma":0.09206794,"domain_scores_codex":[0.9969004,0.0002971537,0.0004165021,0.0007966084,0.001079822,0.0005094616],"domain_scores_gemma":[0.9980237,0.0001959916,0.0005220753,0.0003696264,0.0005812205,0.0003073212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003267262,0.002101796,0.4049378,0.001781962,0.004212803,0.005722521,0.2391128,0.002405729,0.02007224,0.1081038,0.2033037,0.004977644],"study_design_scores_gemma":[0.001094564,0.0001070512,0.7759417,0.0003897199,0.0006378839,0.00007553362,0.1294268,0.0001554068,0.0002040306,0.00004429996,0.09096755,0.0009554909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791184,0.001098053,0.00002386184,0.001052348,0.002603788,0.0003441251,0.0001362908,0.00009496775,0.1155281],"genre_scores_gemma":[0.9036177,0.000441383,0.0001008438,0.00005278113,0.0008424958,0.000003137031,0.001877975,0.00002068942,0.09304297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3710039,"threshold_uncertainty_score":0.9997283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342232975380723,"score_gpt":0.2286275209263591,"score_spread":0.2152051911725519,"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."}}