{"id":"W2010525253","doi":"10.1016/j.jpubeco.2008.10.007","title":"Getting the word out: Enforcement information dissemination and compliance behavior","year":2008,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University","keywords":"Taxpayer; Audit; Enforcement; Compliance (psychology); Business; Evasion (ethics); Accounting; Tax evasion; Public economics; Economics; Political science; Law; Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005999761,0.00008397147,0.000212615,0.000149536,0.0002467744,0.0001301883,0.0001716322,0.00003267922,0.0000813544],"category_scores_gemma":[0.0001534547,0.00007447645,0.00006873608,0.00006466001,0.0000762722,0.001200261,0.00004795271,0.0001278547,0.00005780739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109064,"about_ca_system_score_gemma":0.00002366913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000729097,"about_ca_topic_score_gemma":0.000009865948,"domain_scores_codex":[0.9989688,0.000008570371,0.0007813898,0.00007465608,0.00002722318,0.0001392913],"domain_scores_gemma":[0.9983239,0.00005233616,0.001351426,0.0001138208,0.0001024772,0.00005605758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000218495,0.0001248374,0.5329221,0.00003883752,0.0001639213,0.000002776628,0.009368517,0.0002243318,0.000008144777,0.370287,0.007857972,0.07897973],"study_design_scores_gemma":[0.0006273936,0.00007051727,0.6765155,0.00002208895,0.000009425726,0.0001071568,0.001557633,0.001686908,0.00001960079,0.005371924,0.3137987,0.0002132208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667277,0.001099634,0.007062156,0.005570001,0.0008500473,0.0001765656,0.00002837944,0.00001163114,0.01847387],"genre_scores_gemma":[0.9972336,0.001233284,0.0006255947,0.0003700281,0.0001320356,0.000009853705,0.000003816378,0.00000537339,0.000386357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.364915,"threshold_uncertainty_score":0.3037061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09664380602149338,"score_gpt":0.2656505585783268,"score_spread":0.1690067525568334,"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."}}