{"id":"W4392845672","doi":"10.3390/jrfm17030120","title":"Predicting Risk of and Motives behind Fraud in Financial Statements of Jordanian Industrial Firms Using Hexagon Theory","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":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Actuarial science; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001807219,0.0003285683,0.000251797,0.002650369,0.0005573452,0.001587557,0.0002971746,0.0004451669,0.00285959],"category_scores_gemma":[0.00862099,0.0001444473,0.0004164911,0.001299584,0.0005984152,0.001101517,0.001008263,0.0004939832,0.0004058658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263742,"about_ca_system_score_gemma":0.0007354842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730417,"about_ca_topic_score_gemma":0.002121103,"domain_scores_codex":[0.9986646,0.00058172,0.0001360456,0.0001218803,0.0003137465,0.0001820668],"domain_scores_gemma":[0.9922259,0.002284998,0.003522864,0.0003781754,0.00106484,0.0005232134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007876114,0.00013576,0.9829233,0.00002007822,0.00002610793,0.0001586562,0.0006696485,0.0005463948,0.0001490314,0.000840136,0.000226468,0.01422557],"study_design_scores_gemma":[0.00001421904,0.000214496,0.9634388,0.00009587166,0.00004264178,0.0005315864,0.007425806,0.02242619,0.0005488856,0.003245349,0.001983368,0.00003273724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972003,0.00005730666,0.0008965181,0.0001156902,0.000004917944,0.00003312312,0.00007567309,0.000004984816,0.001611585],"genre_scores_gemma":[0.9985893,0.00005509865,0.0009352016,0.00001577614,0.000005188684,0.00001225236,0.0000900656,0.000001093595,0.0002959201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00285959,"threshold_uncertainty_score":0.009566307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438737951624754,"score_gpt":0.2439758403885905,"score_spread":0.229588460872343,"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."}}