{"id":"W4205674893","doi":"10.53106/256299802020120201005","title":"FCPA Watch: 2016 - 2020 Enforcement Trends","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Auditing","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Business; Political science; Criminology; Psychology; Law","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":[0.002817185,0.00101246,0.0004737312,0.003823799,0.001442055,0.005010249,0.001788416,0.004027707,0.08998033],"category_scores_gemma":[0.007839123,0.0004013777,0.0009083273,0.003582084,0.0006985994,0.004391586,0.001635863,0.003344655,0.06108965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002885457,"about_ca_system_score_gemma":0.008050841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08133891,"about_ca_topic_score_gemma":0.06921674,"domain_scores_codex":[0.9975261,0.000120467,0.0001340638,0.0002016532,0.001482534,0.0005352823],"domain_scores_gemma":[0.9926474,0.000421132,0.0006822667,0.0002554933,0.004734402,0.00125927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004151454,0.00003243678,0.001273462,0.0002632951,0.000006873002,0.00003053236,0.00002658218,0.00007708125,0.0001728808,0.002068375,0.9495365,0.04647045],"study_design_scores_gemma":[0.00001146853,0.00002389187,0.007186016,0.0002744173,0.000006759436,0.00004760784,0.00006927163,0.0001281544,0.0001953614,0.0004160109,0.9916301,0.00001090034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008299215,0.02608972,0.004187699,0.08838642,0.0353773,0.000911986,0.1682751,0.01243622,0.6560364],"genre_scores_gemma":[0.07008088,0.02226924,0.009001223,0.04728548,0.006145912,0.001176482,0.228103,0.002416725,0.6135212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08998033,"threshold_uncertainty_score":0.3010142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163963694439485,"score_gpt":0.36345732974302,"score_spread":0.199493635303535,"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."}}