{"id":"W2476419461","doi":"10.4018/978-1-5225-0053-7.ch002","title":"Transparency, Technology and Taxation","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in public policy and administration (APPA) book series","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transparency (behavior); Legitimacy; Public economics; State (computer science); Business; Government (linguistics); Tax administration; Administration (probate law); Law and economics; Economics; Accounting; Tax reform; Political science; Law; Computer science","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":[0.001074484,0.0004002502,0.0003731835,0.001058832,0.001701191,0.006779463,0.0004613888,0.002599478,0.01503592],"category_scores_gemma":[0.004367349,0.0002221686,0.000268261,0.002717694,0.006046702,0.006346606,0.001587023,0.00340513,0.002347646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004433149,"about_ca_system_score_gemma":0.003662182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004831817,"about_ca_topic_score_gemma":0.003573381,"domain_scores_codex":[0.9985739,0.0005146505,0.00005973644,0.0001692051,0.0005475224,0.0001349538],"domain_scores_gemma":[0.9981139,0.001251694,0.0001820194,0.0001756116,0.0002050064,0.0000718177],"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":[0.000003445984,0.000007705446,0.00007850858,0.00006354836,0.000001705331,0.00001965326,0.0003885128,0.0002243615,0.00003568536,0.9670445,0.0140255,0.01810693],"study_design_scores_gemma":[0.000003501052,0.00000812953,0.0004052347,0.0003958401,0.000003060535,0.00009978274,0.0003011991,0.0002475091,0.0001214073,0.541232,0.4571741,0.000008116717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004845689,0.1025528,0.007183421,0.02988274,0.001777182,0.00003498066,0.0001229551,0.00006502424,0.8535351],"genre_scores_gemma":[0.2964624,0.1602067,0.006068201,0.00893028,0.003788444,0.0001051311,0.000251753,0.0001804781,0.5240065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01503592,"threshold_uncertainty_score":0.05030018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987678080722126,"score_gpt":0.2574811038818811,"score_spread":0.2276043230746599,"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."}}