{"id":"W4321513695","doi":"10.32721/ctj.2022.70.supp.alm","title":"Devising Administrative Policies for Improving Tax Compliance","year":2022,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Tax administration; Public economics; Work (physics); Tax policy; Administration (probate law); Business; Tax reform; Political science; Economics; Public relations; Engineering; 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":[0.02700013,0.0005580423,0.0006740094,0.00367091,0.002526419,0.008582535,0.001998283,0.003252992,0.003455158],"category_scores_gemma":[0.09520682,0.0003708938,0.0005483943,0.00396593,0.004003562,0.00699548,0.002905456,0.003095711,0.0009277707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005834902,"about_ca_system_score_gemma":0.02363515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008019797,"about_ca_topic_score_gemma":0.008488369,"domain_scores_codex":[0.9763984,0.01498353,0.001255039,0.001092395,0.003935142,0.002335467],"domain_scores_gemma":[0.9307558,0.02930737,0.02118002,0.005236282,0.01075849,0.002762003],"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":[0.0001229934,0.001169017,0.04977207,0.0007671774,0.0001880888,0.0001392785,0.003191352,0.02499801,0.002116483,0.6842228,0.02838373,0.204929],"study_design_scores_gemma":[0.0003354987,0.000773174,0.08445938,0.003574276,0.0002815445,0.0003222824,0.02414998,0.06079649,0.007250145,0.6411403,0.1766025,0.0003143808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2952896,0.01296886,0.23037,0.2227346,0.001993137,0.001995137,0.0004717526,0.001701328,0.2324756],"genre_scores_gemma":[0.9264659,0.004853738,0.05576918,0.006060202,0.0004115198,0.0004442271,0.0001274267,0.00008376588,0.005784064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700013,"threshold_uncertainty_score":0.142792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0959720460544941,"score_gpt":0.2511326148300563,"score_spread":0.1551605687755622,"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."}}