{"id":"W4255699762","doi":"10.1787/ad5bd2f8-en","title":"Revenue Statistics: Canada (Edition 2016)","year":2016,"lang":"en","type":"dataset","venue":"OECD Tax Statistics","topic":"Economic, Social, and Public Health Issues in Russia and Globally","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistics; Revenue; Geography; Economics; Econometrics; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002052976,0.0004723142,0.0009268237,0.0001929933,0.0004991759,0.0004375024,0.001576853,0.0004704088,0.01449575],"category_scores_gemma":[0.005885209,0.000374018,0.00006677399,0.0001617749,0.0002693851,0.0001777317,0.0002101131,0.0005309635,0.004090499],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006550631,"about_ca_system_score_gemma":0.007838598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3932191,"about_ca_topic_score_gemma":0.8230422,"domain_scores_codex":[0.9942848,0.0005118921,0.001711408,0.0008820744,0.001778194,0.0008316238],"domain_scores_gemma":[0.9916439,0.004349194,0.001460185,0.001323168,0.0006092918,0.0006142545],"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":[0.00001389222,0.00002582441,0.00002384977,0.00007361133,0.00003819173,0.0001300946,0.00002111542,0.000001284696,5.444707e-8,0.005580507,0.9799399,0.01415164],"study_design_scores_gemma":[0.0002736916,0.00006796693,0.0002895987,0.00006059572,0.0000528156,0.000008177788,0.00003404349,0.000013022,3.791112e-7,0.06265541,0.9360998,0.0004444481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001470478,0.0002455187,0.01482441,0.001264858,0.009490911,0.0002879911,0.9724028,0.00001375363,0.001468357],"genre_scores_gemma":[0.000007363569,0.001392281,0.00495282,0.002457716,0.002572343,0.00003654744,0.9616478,0.00003189343,0.02690123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.429823,"threshold_uncertainty_score":0.9998712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131703941981174,"score_gpt":0.3730654181755981,"score_spread":0.3217483787557864,"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."}}