{"id":"W2146193317","doi":"","title":"Simulating Firm-Specific Corporate Marginal Tax Rates in a Canadian Context","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Corporate tax; Context (archaeology); Business; Economics; Double taxation; Econometrics; Monetary economics; Tax avoidance; Public economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001507488,0.0005844098,0.0006243762,0.0009448928,0.00158189,0.001913126,0.002249768,0.001367237,0.00406389],"category_scores_gemma":[0.008403503,0.0005229723,0.0008394691,0.002423021,0.001036687,0.0009699396,0.0008682229,0.001763198,0.000246522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02191408,"about_ca_system_score_gemma":0.01505332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752014,"about_ca_topic_score_gemma":0.9700337,"domain_scores_codex":[0.9994618,0.0001231978,0.00001709424,0.00008970949,0.00009544818,0.0002128099],"domain_scores_gemma":[0.99708,0.001275059,0.0002116288,0.000199633,0.0009150273,0.000318703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000605539,0.00002638551,0.005346822,0.00001268121,0.00001523809,0.00004560851,0.00008191895,0.9824259,0.0001086966,0.008693768,0.0008937103,0.002288594],"study_design_scores_gemma":[0.00003894101,0.00001928648,0.003828872,0.000008529496,0.00001809445,0.00001050261,0.0001667026,0.9920587,0.0001747271,0.002268826,0.001374835,0.00003186108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523688,0.0002950057,0.02071097,0.000963204,0.00005858762,0.0001136507,0.003386261,0.0002337492,0.02186982],"genre_scores_gemma":[0.9878759,0.0001655009,0.007770508,0.00004731362,0.000006339615,0.00002836992,0.001038055,0.0000345721,0.00303332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02479863,"threshold_uncertainty_score":0.1589985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556514578942984,"score_gpt":0.234647631463526,"score_spread":0.1990824856740961,"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."}}