{"id":"W4387868103","doi":"10.3386/w31806","title":"Laffer's Day in Court: The Revenue Effects of Criminal Justice Fees and Fines","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Laffer curve; Criminal justice; Revenue; Criminal court; Law; Economic Justice; Political science; Criminology; Business; Economics; Psychology; Tax reform; Finance; Gross income; State income tax","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":[0.002936589,0.0002801311,0.0007739802,0.001750228,0.001538339,0.005747575,0.000963956,0.002129596,0.02069352],"category_scores_gemma":[0.03790331,0.0002330596,0.0008218869,0.001574231,0.002582479,0.003515594,0.001682435,0.003635213,0.00199051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006046155,"about_ca_system_score_gemma":0.002561089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03243798,"about_ca_topic_score_gemma":0.03660747,"domain_scores_codex":[0.9974498,0.0009301212,0.00006003685,0.0001755808,0.0006434036,0.0007410723],"domain_scores_gemma":[0.9797656,0.01306424,0.002751687,0.0006522663,0.001928969,0.001837156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000834952,0.001032923,0.08876983,0.0001538505,0.000126361,0.002400345,0.001304561,0.03027347,0.0006254945,0.6600114,0.1082807,0.1061862],"study_design_scores_gemma":[0.0004745323,0.0008144079,0.2975093,0.0004260184,0.0003129091,0.001790012,0.006708691,0.07807383,0.001394271,0.5358648,0.07635415,0.000277083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6005245,0.004317296,0.002023659,0.02948209,0.0002096684,0.00007673524,0.001199423,0.0001085758,0.362058],"genre_scores_gemma":[0.9882966,0.0009849604,0.0001727627,0.0007995538,0.0001576551,0.00001003714,0.0001671077,0.00002551501,0.00938575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03243798,"threshold_uncertainty_score":0.06922668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3513804319177095,"score_gpt":0.4567671823898897,"score_spread":0.1053867504721802,"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."}}