{"id":"W4389629842","doi":"10.18326/ijier.v5i1.8987","title":"Predicting sharia commercial bank financial distress through financial liquidity ratio","year":2023,"lang":"en","type":"article","venue":"Indonesian Journal of Islamic Economics Research","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Financial ratio; Quarter (Canadian coin); Financial distress; Business; Cash; Finance; Financial system; Actuarial science","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":[0.0009440649,0.0003937062,0.0002239517,0.001740969,0.0003534802,0.001440661,0.0002842739,0.0004759627,0.003447755],"category_scores_gemma":[0.004186265,0.0001480858,0.0002207294,0.001211286,0.0002572729,0.0008586968,0.0005704239,0.0006031802,0.0006255714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698525,"about_ca_system_score_gemma":0.0005495114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00471535,"about_ca_topic_score_gemma":0.005068537,"domain_scores_codex":[0.999512,0.0001029413,0.00009108117,0.00006629816,0.0001298758,0.0000979219],"domain_scores_gemma":[0.9960925,0.0007378004,0.001950056,0.00007412982,0.0007570196,0.0003885309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006496203,0.00005307763,0.9919813,0.00002039317,0.00001738306,0.0001442368,0.0001345726,0.000433295,0.0001236503,0.0001095451,0.0006195349,0.006297943],"study_design_scores_gemma":[0.00001224421,0.0001204634,0.9897475,0.0000580932,0.00003959172,0.0003187697,0.001382968,0.00654708,0.0004205249,0.0003075168,0.001027158,0.00001813876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954959,0.0003097385,0.0003435053,0.0003504222,0.00001731406,0.00001730826,0.0004846324,0.00001749332,0.002963695],"genre_scores_gemma":[0.9989393,0.0001273586,0.0001635265,0.00002760732,0.00001425605,0.00000873298,0.0002538879,9.864183e-7,0.0004642633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00471535,"threshold_uncertainty_score":0.01153386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026885265413243,"score_gpt":0.3875504956353398,"score_spread":0.2848619690940155,"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."}}