{"id":"W2724981554","doi":"","title":"PENGARUH RISIKO USAHA TERHADAP CARPADA BANK UMUM SWASTANASIONAL DEVISA","year":2016,"lang":"id","type":"article","venue":"","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquidity risk; Foreign exchange; Business; Market liquidity; Credit risk; Market risk; Operational risk; Financial system; National bank; Quarter (Canadian coin); Commercial bank; Finance; Risk management; Economics; Monetary economics; Geography","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":[0.0005720821,0.0002402213,0.000232188,0.0006921834,0.0007423398,0.002136176,0.0001552605,0.0002103858,0.01684687],"category_scores_gemma":[0.001210494,0.0001572955,0.0001488121,0.0008182173,0.0002877163,0.0009021118,0.0008345975,0.0006646019,0.002897535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006678,"about_ca_system_score_gemma":0.002004024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369318,"about_ca_topic_score_gemma":0.004259408,"domain_scores_codex":[0.9996737,0.00006627078,0.0000298532,0.00005364355,0.0001089384,0.00006759667],"domain_scores_gemma":[0.9987125,0.0003021634,0.0003922748,0.000057778,0.0002973591,0.0002378607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006406282,0.00074569,0.5313035,0.0007555335,0.0001306187,0.003888991,0.006845411,0.001300513,0.005120317,0.01773244,0.02898189,0.4025546],"study_design_scores_gemma":[0.00006210806,0.0004804906,0.7613045,0.0005780577,0.0002141305,0.003566107,0.0155073,0.003415229,0.006033117,0.004645712,0.2041297,0.0000635088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164729,0.003403085,0.001159444,0.00248908,0.0001851223,0.0000511408,0.0005389538,0.00008589174,0.07561448],"genre_scores_gemma":[0.9676862,0.00285382,0.0008345217,0.000191914,0.00007215785,0.00004601106,0.000370688,0.0000156747,0.02792897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01684687,"threshold_uncertainty_score":0.0563584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554325013407781,"score_gpt":0.1939064779728007,"score_spread":0.1783632278387229,"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."}}