{"id":"W4392358344","doi":"10.3390/jrfm17030104","title":"Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random forest; Islam; Predictive power; Islamic banking; Business; Risk management; Computer science; History; Artificial intelligence; Finance; Archaeology; Philosophy","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":[0.001457893,0.0002170137,0.0004949814,0.001600375,0.00009547071,0.0001162212,0.0002072194,0.00006119652,0.00001479376],"category_scores_gemma":[0.00007763924,0.0001821339,0.0001614813,0.001058566,0.00006773831,0.0006794003,0.0002428765,0.0003662023,0.000006443282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007452108,"about_ca_system_score_gemma":0.00001230395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000200401,"about_ca_topic_score_gemma":0.0005326223,"domain_scores_codex":[0.9982653,0.00002745361,0.0008084691,0.0002666808,0.0003216402,0.0003104919],"domain_scores_gemma":[0.9992261,0.00007803863,0.0004908619,0.0001307679,0.00007104101,0.000003202203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008062102,0.0002283945,0.3389595,0.001145135,0.0002408728,0.001102932,0.002063697,0.002601052,0.000003590687,0.1308936,0.001260716,0.5206943],"study_design_scores_gemma":[0.003016213,0.00006514011,0.8136052,0.00208421,0.0003895228,0.000003857537,0.0006291238,0.001976421,0.000003558589,0.1694191,0.008563289,0.0002444264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755268,0.004782082,0.01326605,0.00007355565,0.0008317814,0.0003551516,0.000005234898,0.00001853881,0.005140849],"genre_scores_gemma":[0.9910761,0.008074212,0.0004356865,0.00005176276,0.0002818585,0.00001134913,0.000001378452,0.00001841213,0.00004924635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5204499,"threshold_uncertainty_score":0.7427207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004138796524006502,"score_gpt":0.2064872318225224,"score_spread":0.2023484352985159,"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."}}