{"id":"W2241078606","doi":"","title":"Linkage and the Deterrence of Corporate Fraud","year":2008,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Deterrence (psychology); Misconduct; Incentive; Punishment (psychology); Enforcement; Law enforcement; Deterrence theory; Quarter (Canadian coin); Business; Criminal law; Criminology; Corporate crime; Law and economics; Political science; Economics; Law; Psychology; Social psychology; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004179709,0.000190176,0.0003599267,0.002859739,0.001588289,0.003154174,0.0005005018,0.00132427,0.005799889],"category_scores_gemma":[0.02968475,0.0002584242,0.0002481742,0.001368982,0.003684137,0.002317897,0.003867265,0.00136454,0.0005545737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476892,"about_ca_system_score_gemma":0.002330684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802157,"about_ca_topic_score_gemma":0.001460102,"domain_scores_codex":[0.9941275,0.003399667,0.0001492887,0.0003069578,0.001257706,0.000758767],"domain_scores_gemma":[0.9834906,0.005438516,0.007117471,0.0007837474,0.001961013,0.001208678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001698063,0.001041637,0.1383506,0.0002224024,0.0001039218,0.0005689918,0.003715671,0.009374063,0.0005545589,0.656823,0.005513482,0.1835618],"study_design_scores_gemma":[0.0001582079,0.0009268683,0.2693553,0.001007685,0.0001343804,0.002506267,0.005681979,0.02330482,0.002337449,0.5690502,0.1254369,0.0000999889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6787477,0.004986566,0.01400102,0.01873659,0.000106953,0.0001936055,0.0001384596,0.00006923854,0.2830198],"genre_scores_gemma":[0.992956,0.0009121139,0.0009248859,0.0003066185,0.00004494731,0.00002869424,0.00002075826,0.000004672905,0.004801156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005799889,"threshold_uncertainty_score":0.02210462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422482077945068,"score_gpt":0.2605258647035938,"score_spread":0.218277656909087,"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."}}