{"id":"W4386750661","doi":"10.1515/9780228019886-004","title":"3 What Do Tax Haven Data Leaks Tell Us About Canadian Financial Crime?","year":2023,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tax haven; Haven; Safe haven; Business; Economics; Finance; Tax avoidance; Financial economics; Double taxation; Mathematics","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":[0.001555544,0.00042237,0.0003587034,0.00453589,0.008948689,0.01043338,0.001000609,0.002435384,0.01678013],"category_scores_gemma":[0.01539558,0.0003038325,0.0004374259,0.009589382,0.004666341,0.004216102,0.0009641916,0.003470725,0.001076101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06273773,"about_ca_system_score_gemma":0.06226889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900894,"about_ca_topic_score_gemma":0.9936526,"domain_scores_codex":[0.9977797,0.0001855394,0.00005353365,0.0001371361,0.001072115,0.0007720009],"domain_scores_gemma":[0.9924051,0.001478774,0.001062534,0.0002774507,0.004074811,0.0007012474],"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":[0.0001412194,0.00005194523,0.08806095,0.0002712343,0.0000817971,0.000432482,0.01521699,0.001194154,0.0001604559,0.3068956,0.4852868,0.1022064],"study_design_scores_gemma":[0.00001741172,0.00002855423,0.1759347,0.0009723035,0.0001100316,0.0002941391,0.04618755,0.001813762,0.0004459641,0.05554342,0.7184423,0.000209838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1262142,0.0179531,0.001679249,0.2397437,0.001355849,0.00007783525,0.0173592,0.0001181362,0.5954988],"genre_scores_gemma":[0.8197732,0.018017,0.0008572598,0.01862303,0.000638855,0.00004604667,0.003971599,0.0001013104,0.1379717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06273773,"threshold_uncertainty_score":0.4551963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644778815824954,"score_gpt":0.216263646074066,"score_spread":0.1598158579158165,"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."}}