{"id":"W4400752104","doi":"10.1787/rev_stats-2018-table51-en","title":"Canada, tax revenue and % of GDP by selected tax category","year":2018,"lang":"en","type":"other","venue":"Revenue statistics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tax revenue; Economics; Monetary economics; Revenue; Ad valorem tax; Tax reform; Business; Public economics; Accounting","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":[0.0009234709,0.001541804,0.00100191,0.009669486,0.003538935,0.004142019,0.002343705,0.0008574055,0.0671147],"category_scores_gemma":[0.007407181,0.0007767629,0.00115248,0.03117351,0.0007912597,0.001580127,0.0009812387,0.001898631,0.01397716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05598144,"about_ca_system_score_gemma":0.1701957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976733,"about_ca_topic_score_gemma":0.9979918,"domain_scores_codex":[0.9975383,0.00006213296,0.0001194869,0.0001697145,0.001595231,0.00051502],"domain_scores_gemma":[0.9910613,0.0003121373,0.000406,0.000191298,0.00742015,0.0006092657],"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":[0.00004762947,0.0000273584,0.007157671,0.0002650965,0.00003543473,0.00003259084,0.00009516937,0.0007420331,0.00003375661,0.005184133,0.9723217,0.01405742],"study_design_scores_gemma":[0.00005586593,0.00001317299,0.0808612,0.0005369372,0.00005730868,0.00006317129,0.0007432154,0.001190831,0.0004178907,0.001674636,0.914312,0.00007387261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00359222,0.003051764,0.000289638,0.001753555,0.0002850193,0.00009661015,0.9201198,0.0005119604,0.07029936],"genre_scores_gemma":[0.04114314,0.012161,0.001963924,0.0006830706,0.0001919225,0.000200447,0.5726938,0.000801074,0.3701616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0671147,"threshold_uncertainty_score":0.4061757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178735159384081,"score_gpt":0.1983001074291429,"score_spread":0.1865127558353021,"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."}}