{"id":"W1533632717","doi":"","title":"Can Corporate Monitorships Improve Corporate Compliance","year":2009,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Corporation; Compliance (psychology); Enforcement; Business; Settlement (finance); Government (linguistics); Corporate crime; Work (physics); Process (computing); Accounting; Corporate governance; Public relations; Law and economics; Political science; Law; Finance; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02208169,0.000289003,0.0004020797,0.001694783,0.002938632,0.005230635,0.001709601,0.003469971,0.008253831],"category_scores_gemma":[0.1059683,0.0003459767,0.0006053227,0.001934387,0.002986354,0.005971708,0.004564708,0.001702389,0.001536284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003139063,"about_ca_system_score_gemma":0.007956679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003896166,"about_ca_topic_score_gemma":0.005435451,"domain_scores_codex":[0.9745341,0.01486306,0.0008061464,0.00170644,0.004576474,0.00351384],"domain_scores_gemma":[0.9171943,0.03008244,0.02436659,0.01343022,0.008949581,0.005976914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004945492,0.0040631,0.2429825,0.0004429842,0.0001909133,0.0004073437,0.01819069,0.004776016,0.004756412,0.2179244,0.04604106,0.45973],"study_design_scores_gemma":[0.0005977403,0.004647743,0.618682,0.001261206,0.0003942301,0.000376125,0.02371933,0.01060701,0.009898622,0.09133302,0.2382479,0.0002350565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840557,0.00136215,0.00954002,0.05521784,0.0004762938,0.0003768825,0.0001065189,0.0006696342,0.148195],"genre_scores_gemma":[0.9876854,0.0002544611,0.002937719,0.002977825,0.0001588464,0.0001068898,0.0000522392,0.000034302,0.005792235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208169,"threshold_uncertainty_score":0.1167805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06201996021231142,"score_gpt":0.2526138216092441,"score_spread":0.1905938613969327,"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."}}