{"id":"W2201066360","doi":"10.1016/j.jcorpfin.2015.07.016","title":"Financial market misconduct and agency conflicts: A synthesis and future directions","year":2015,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Misconduct; Agency (philosophy); Financial market; Enforcement; Business; Finance; Accounting; Political science; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006199268,0.0002133889,0.0004017982,0.0001685133,0.0001344407,0.0001634869,0.0001711893,0.00009896365,0.00003788413],"category_scores_gemma":[0.0003364432,0.0001841532,0.00006803155,0.0004983458,0.0001174658,0.001570276,0.00006411574,0.0002442221,0.0000160678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718746,"about_ca_system_score_gemma":0.0001436804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006733088,"about_ca_topic_score_gemma":0.00003424118,"domain_scores_codex":[0.9988195,0.0000190865,0.000459608,0.0002154666,0.0002633725,0.0002229329],"domain_scores_gemma":[0.9975714,0.00004284606,0.001686898,0.0001611245,0.0005065494,0.00003117666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002257867,0.0005136711,0.2425146,0.0006609294,0.0001444791,0.001569166,0.0009779602,0.00006623493,0.0009860244,0.05723358,0.3973348,0.2957407],"study_design_scores_gemma":[0.0006789468,0.00004476861,0.2821804,0.0001395784,0.00006087353,0.0001178186,0.00003838544,0.0001601686,0.0000522897,0.008544039,0.7077721,0.00021059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866874,0.005553943,0.0001566612,0.002719183,0.001156421,0.0001180551,0.00001291699,0.00002018625,0.003575257],"genre_scores_gemma":[0.988045,0.005412384,0.0006493583,0.0009317821,0.003595229,0.00001002215,0.000001247365,0.00002872224,0.001326234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3104374,"threshold_uncertainty_score":0.7509551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725215562984886,"score_gpt":0.2156957526160328,"score_spread":0.178443596986184,"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."}}