{"id":"W4360973071","doi":"10.26740/aluqud.v7n1.p17-32","title":"Financial stability in Indonesian Islamic banking using Z-Score: Before and during Covid-19","year":2023,"lang":"en","type":"article","venue":"al-Uqud Journal of Islamic Economics","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Ahmad Dahlan","keywords":"Pandemic; Quarter (Canadian coin); Islam; Financial stability; Coronavirus disease 2019 (COVID-19); Indonesian; Islamic banking; Business; Publication; Financial system; Accounting; Actuarial science; Medicine; Geography; Internal medicine; Advertising","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":[0.0006711243,0.0002091464,0.0002519848,0.001164314,0.0003384436,0.0009925639,0.0001821034,0.0003122762,0.001654296],"category_scores_gemma":[0.002929603,0.00008836365,0.0003143507,0.001310759,0.0003860435,0.0006490672,0.0005540749,0.0005700064,0.0003251075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003926881,"about_ca_system_score_gemma":0.0003493069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00440304,"about_ca_topic_score_gemma":0.004466397,"domain_scores_codex":[0.9995068,0.00008153947,0.00007487058,0.00008463624,0.0001351877,0.0001169686],"domain_scores_gemma":[0.9977784,0.000428299,0.001027719,0.00008641501,0.0003917358,0.0002875653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001537617,0.00004348802,0.9924083,0.00001339663,0.00003492838,0.00008116578,0.0004405166,0.0001580279,0.0002191817,0.0001528414,0.0003338275,0.005960485],"study_design_scores_gemma":[0.000001402753,0.00005449658,0.9984561,0.000006269345,0.000006437948,0.00006046385,0.000716911,0.000299809,0.0001058215,0.00005038856,0.0002372302,0.000004636656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979801,0.00009266804,0.00008841747,0.00008287576,0.0000110551,0.000005128092,0.0003307187,0.00000403825,0.001405016],"genre_scores_gemma":[0.9993411,0.00003790585,0.0000522675,0.00001170031,0.000008843943,0.000003783444,0.0003350517,0.00000102514,0.0002083544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00440304,"threshold_uncertainty_score":0.008754849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526506410286436,"score_gpt":0.2979493249662539,"score_spread":0.2626842608633896,"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."}}