{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921703,0.00005708641,0.0001257604,0.0000166681,0.0004099194,0.00003099195,0.0001619115,0.00004329469,0.0006064934],"category_scores_gemma":[0.00009172593,0.0000437033,0.00003406203,0.00008383257,0.0007514394,0.0001199054,0.00004789182,0.00008986572,0.0001899307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002933043,"about_ca_system_score_gemma":0.0001209568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00229101,"about_ca_topic_score_gemma":0.004337138,"domain_scores_codex":[0.9993415,0.00009085847,0.0001781805,0.0001235938,0.0001209013,0.0001448934],"domain_scores_gemma":[0.9995232,0.00009165601,0.0001265124,0.0001241015,0.00003480178,0.00009975917],"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":[0.0001538872,0.00008787581,0.1641861,0.00002203025,0.00005681857,0.00002377932,0.04034512,0.00002505183,0.0002032734,0.7583679,0.003583107,0.03294506],"study_design_scores_gemma":[0.002988779,0.00004962769,0.1536013,0.0000661101,0.00002031168,0.00001632151,0.004341451,0.0001898498,0.0003358831,0.01413594,0.823796,0.0004585204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147117,0.000225474,0.00008081695,0.001219345,0.0003340251,0.0001548659,0.000001980421,0.00002964777,0.08324213],"genre_scores_gemma":[0.9919875,0.0005424003,0.0003531078,0.0007049916,0.000080767,0.000009541664,9.259094e-7,0.00000348549,0.00631725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8202128,"threshold_uncertainty_score":0.6640677,"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."}}