{"id":"W3012674613","doi":"10.5267/j.ac.2020.1.001","title":"The effect of non-performing loans on profitability of commercial banks: Case of Vietnam","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Moral hazard; Non-performing loan; Business; Net interest margin; Vietnamese; Profit (economics); Margin (machine learning); Loan; Credit risk; Interest rate; Financial system; Profit margin; Finance; Actuarial science; Economics; Incentive; Market economy; Return on assets","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007586841,0.0001296797,0.0001978232,0.0005581189,0.0007570675,0.00141716,0.0004063793,0.0004386465,0.002791282],"category_scores_gemma":[0.002692586,0.00009135834,0.0002760168,0.0007253028,0.0007778821,0.0008688482,0.0007397605,0.0008388346,0.0001801618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002808521,"about_ca_system_score_gemma":0.001879153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1016954,"about_ca_topic_score_gemma":0.100593,"domain_scores_codex":[0.9994015,0.0001837174,0.00003460838,0.00005563737,0.00008096301,0.0002436059],"domain_scores_gemma":[0.9958153,0.001358403,0.001039307,0.00009040906,0.0007478229,0.000948643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003791683,0.0003689622,0.9502452,0.0001610118,0.00009003314,0.01108176,0.006350827,0.004121691,0.0007377653,0.006484887,0.002823462,0.01715524],"study_design_scores_gemma":[0.00002279356,0.000239714,0.9545464,0.0001196673,0.00008542953,0.001456081,0.03153948,0.005333629,0.0006280491,0.001324782,0.004674842,0.00002919292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963472,0.0002926874,0.00003195542,0.0005566423,0.000005061745,0.000005397215,0.00007500151,0.000001342388,0.002684574],"genre_scores_gemma":[0.9992062,0.0001781029,0.00001394341,0.00002204694,0.00000418388,0.0000017085,0.00003862609,7.022184e-7,0.0005345203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016954,"threshold_uncertainty_score":0.2022069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009427058713847327,"score_gpt":0.2340847589250793,"score_spread":0.224657700211232,"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."}}