{"id":"W2165797270","doi":"10.5267/j.msl.2013.02.025","title":"The relationship between liquidity risk and credit risk in Islamic banking industry of Iran","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islamic banking; Business; Banking industry; Credit risk; Market liquidity; Liquidity risk; Islam; Financial system; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003505057,0.0001013776,0.0001581214,0.0004006858,0.0004937128,0.0001736795,0.0005050755,0.00006279831,0.00003425231],"category_scores_gemma":[0.0005204838,0.00009627949,0.00003375453,0.001041614,0.000758752,0.0005193329,0.0001840176,0.0003177829,0.00003695216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312303,"about_ca_system_score_gemma":0.00000334811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007785833,"about_ca_topic_score_gemma":0.00004202176,"domain_scores_codex":[0.9985375,0.00005159301,0.0005233193,0.0004373117,0.0001252408,0.0003250021],"domain_scores_gemma":[0.998697,0.0003678927,0.0004385147,0.0004647133,0.000008070914,0.00002381319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.641946e-7,0.00001059953,0.9672511,0.00001043163,0.00000409942,1.306768e-7,0.0003524181,0.0006842276,0.000005567394,0.02961871,0.00006185506,0.002000089],"study_design_scores_gemma":[0.0001482231,0.00001111381,0.8935956,0.0000113132,0.000004787786,9.263258e-8,0.0001048129,0.003549782,0.000006613813,0.1023682,0.0001035276,0.00009595959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924845,0.00009155409,0.003385418,0.001928698,0.0001759164,0.0003775056,0.000008425713,0.00001743042,0.00153053],"genre_scores_gemma":[0.9992461,0.00002962484,0.0005383507,0.00008579103,0.0000359261,0.00002051491,0.000001114568,0.000006792589,0.00003575862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07365555,"threshold_uncertainty_score":0.3926164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334181614063136,"score_gpt":0.2352904477051774,"score_spread":0.2018722862988638,"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."}}