{"id":"W4376462444","doi":"10.1787/96da999f-en","title":"Revenue Statistics: Canada (Edition 2022)","year":2023,"lang":"en","type":"dataset","venue":"OECD Tax Statistics","topic":"Economic, Social, and Public Health Issues in Russia and Globally","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Revenue; Statistics; Business; Economics; Econometrics; Computer science; Accounting; 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":[0.001480921,0.002732747,0.002419339,0.01122872,0.001895853,0.005303728,0.003469894,0.001718909,0.1071996],"category_scores_gemma":[0.01139002,0.001550913,0.001986183,0.04043955,0.000604256,0.001985866,0.001798913,0.003145247,0.1020933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01703914,"about_ca_system_score_gemma":0.04748163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9262801,"about_ca_topic_score_gemma":0.9190066,"domain_scores_codex":[0.997744,0.000157744,0.0002900673,0.0003050369,0.0008560218,0.0006472058],"domain_scores_gemma":[0.9889867,0.0009232863,0.0005988344,0.0008353138,0.007833345,0.0008225439],"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":[0.00001245838,0.00000552728,0.0003317553,0.0001181515,0.000008261361,0.000004649086,0.000005317308,0.0001174151,0.000005528736,0.0003189486,0.9978825,0.001189342],"study_design_scores_gemma":[0.0001023065,0.000004607275,0.007328863,0.0004687259,0.0000222425,0.00001945634,0.00008924441,0.000370444,0.0001074463,0.001029952,0.9904191,0.00003751979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002379598,0.00002897538,0.00001764447,0.00004830324,0.00001489218,0.000005269562,0.9992024,0.0000684572,0.0005901838],"genre_scores_gemma":[0.000269312,0.0001133965,0.0001460346,0.00004869883,0.000006685309,0.00004507467,0.9972361,0.00007184945,0.002062969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1071996,"threshold_uncertainty_score":0.3586184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06613135328472639,"score_gpt":0.3880569074860088,"score_spread":0.3219255542012824,"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."}}