{"id":"W2699103467","doi":"10.5539/ass.v13n7p52","title":"Tax Amnesties in Indonesia and Other Countries: Opportunities and Challenges","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Legal Studies and Policies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amnesty; Tax revenue; Business; Revenue; Government (linguistics); Tax reform; Database transaction; Order (exchange); Economics; Economic policy; Finance; Politics; Public economics; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009507259,0.00008515912,0.0001460875,0.00005600498,0.004692318,0.000545566,0.0003507922,0.000061373,0.00001216771],"category_scores_gemma":[0.0001578045,0.00007691077,0.00001351933,0.00007919627,0.007913581,0.0006166144,0.0001749423,0.00006797665,0.000002437996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005149479,"about_ca_system_score_gemma":0.0001747788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01479472,"about_ca_topic_score_gemma":0.01996538,"domain_scores_codex":[0.9989534,0.00004961255,0.00009565272,0.0001929712,0.0003325835,0.0003757756],"domain_scores_gemma":[0.9996108,0.00004533692,0.0000930973,0.000100301,0.0000507843,0.00009963444],"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":[0.000003781247,0.000007070928,0.03341936,0.00001261952,0.00000283036,0.00000434394,0.1992178,3.358242e-9,0.000003939821,0.6826617,0.0001492638,0.08451728],"study_design_scores_gemma":[0.0001164303,0.00001570333,0.5218218,0.00001889151,0.00000295694,6.68473e-7,0.1152387,3.143621e-7,0.000004234966,0.003211587,0.3594496,0.0001191863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2036887,0.002027047,5.766173e-7,0.06821854,0.0001761048,0.0001262952,0.000009626562,0.00002472346,0.7257284],"genre_scores_gemma":[0.991106,0.007596257,0.00001209329,0.0003918116,0.0002549705,0.000009056893,4.424073e-8,0.000004122327,0.0006256677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7874173,"threshold_uncertainty_score":0.9979177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013844309520756,"score_gpt":0.3423933432805608,"score_spread":0.2410089123284851,"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."}}