{"id":"W4400934444","doi":"10.3390/jrfm17080314","title":"Personal Networks, Board Structures and Corporate Fraud in Japan","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Business; Accounting; Computer security; Internet privacy; Computer science","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":[0.001425595,0.0002133498,0.0002946749,0.001538798,0.001195208,0.001934951,0.0003153209,0.0005047149,0.001611479],"category_scores_gemma":[0.006702365,0.0002024066,0.0002628874,0.001725766,0.0009570933,0.001277091,0.002261143,0.0006701301,0.0001292748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697715,"about_ca_system_score_gemma":0.0009348121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04240187,"about_ca_topic_score_gemma":0.04270006,"domain_scores_codex":[0.9992619,0.0002391809,0.00005674682,0.00008246917,0.0001289627,0.0002307677],"domain_scores_gemma":[0.9890555,0.001262957,0.006877335,0.0003378479,0.0006658889,0.0018004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005316616,0.000119582,0.991906,0.00001390231,0.00003395541,0.0001453962,0.002013888,0.0001933872,0.00008254538,0.0003804133,0.0001656807,0.004891991],"study_design_scores_gemma":[0.000006330318,0.00004441734,0.9954666,0.00001851662,0.00004971063,0.00008574413,0.002820262,0.0007019608,0.00003680919,0.0002696853,0.0004925654,0.000007353221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988086,0.0001905386,0.00005816649,0.0001612557,0.000004353999,0.000003256175,0.00002148934,7.628229e-7,0.0007515242],"genre_scores_gemma":[0.9995586,0.0001576102,0.00003753109,0.00002398599,0.000008904763,0.000002470952,0.0000289519,5.401405e-7,0.0001813474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04240187,"threshold_uncertainty_score":0.08431011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009452642652496606,"score_gpt":0.1912952689585412,"score_spread":0.1818426263060446,"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."}}