{"id":"W4390288876","doi":"10.59403/3w3awmg","title":"GATCA: A 2018 Update to the Globalization of Anti-Tax Evasion Frameworks","year":2018,"lang":"en","type":"article","venue":"Finance and Capital Markets (formerly Derivatives & Financial Instruments)","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Tax evasion; Evasion (ethics); Compliance (psychology); Jurisdiction; Set (abstract data type); Business; Law and economics; Political science; Public economics; Economics; Computer science; Law; Psychology; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01809938,0.002070609,0.001644662,0.01837556,0.004364404,0.01447732,0.005218918,0.01454037,0.01971644],"category_scores_gemma":[0.0547221,0.00107557,0.002075584,0.01772845,0.007047416,0.01671121,0.01091232,0.01575722,0.008462679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224616,"about_ca_system_score_gemma":0.0199104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04083654,"about_ca_topic_score_gemma":0.03591213,"domain_scores_codex":[0.9833602,0.002766993,0.001690433,0.00148013,0.008984678,0.001717694],"domain_scores_gemma":[0.9657232,0.01022286,0.002642079,0.003216688,0.01598736,0.002207803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001990453,0.00003788407,0.0005115059,0.0004823388,0.00001675888,0.0001074105,0.0006518054,0.0002133715,0.0001014238,0.08044922,0.8358157,0.08159257],"study_design_scores_gemma":[0.000002094857,0.00000326296,0.0003213161,0.0006157689,0.000005189343,0.00003882202,0.00007995123,0.00003190721,0.00003474837,0.003583622,0.9952695,0.0000138475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002675635,0.2310559,0.01347785,0.3292196,0.1217699,0.0003363783,0.007283445,0.002242185,0.291939],"genre_scores_gemma":[0.06043512,0.2217071,0.05577496,0.3502787,0.08650097,0.001611049,0.01717509,0.006364582,0.2001524],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04083654,"threshold_uncertainty_score":0.09571981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309914057762816,"score_gpt":0.2248974804809559,"score_spread":0.2117983399033277,"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."}}