{"id":"W3043438799","doi":"10.32479/ijefi.9959","title":"THE IMPACT OF INTELLECTUAL CAPITAL EFFICIENCY ON BANK RISKS: EMPIRICAL EVIDENCE FROM THE SAUDI BANKING INDUSTRY","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Financial Issues","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insolvency; Capital adequacy ratio; Economic capital; Intellectual capital; Quarter (Canadian coin); Economics; Risk-adjusted return on capital; Human capital; Structural capital; Credit risk; Capital (architecture); Actuarial science; Capital requirement; Business; Financial capital; Finance; Capital formation; Microeconomics; Individual capital","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":[],"consensus_categories":[],"category_scores_codex":[0.0003258116,0.0001184459,0.0002045037,0.00007745883,0.0001449598,0.0002986005,0.0005437742,0.00007101943,0.0002324403],"category_scores_gemma":[0.001262744,0.00006555655,0.0002134411,0.0001171461,0.0001158525,0.0005048222,0.000139376,0.0003566008,0.00003299487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003863408,"about_ca_system_score_gemma":0.0000680146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044742,"about_ca_topic_score_gemma":0.00009381028,"domain_scores_codex":[0.9991698,0.00001187277,0.000445386,0.0001149083,0.000141339,0.0001166587],"domain_scores_gemma":[0.9986439,0.0005304315,0.0004452749,0.00006969095,0.0002937041,0.00001698592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009371127,0.0006223026,0.5555757,0.00005427995,0.00260599,0.00009162263,0.05108896,0.06277826,0.0008933744,0.02521549,0.09242304,0.1992799],"study_design_scores_gemma":[0.002613003,0.002382582,0.544632,0.00113207,0.0004811503,0.00004778165,0.008019337,0.2477668,0.002382773,0.04887686,0.1403396,0.001326099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922591,0.001405049,0.00005350678,0.005469444,0.0003675638,0.00003908661,0.000009264913,0.000002850295,0.0003941644],"genre_scores_gemma":[0.9939271,0.001874212,0.000009354737,0.001014535,0.003148395,6.990219e-7,0.000002462065,0.000006661452,0.00001654907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1979538,"threshold_uncertainty_score":0.2879411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07654496597157408,"score_gpt":0.3089433617740719,"score_spread":0.2323983958024979,"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."}}