{"id":"W6901556692","doi":"10.6068/dp14baa30405415","title":"Trend 2000 - 2009. Statistics Canada. CANSIM: Government - Revenue and Expenditures | Country: Canada | Province: Nunavut | Table: Federal, provincial and territorial general government revenue and expenditures, for fiscal year ending March 31 | Variable: Provincial and territorial general government, Alcoholic beverages and tobacco taxes (x 1,000,000) | Units: $CAD, 2000-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-107.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Government (linguistics); Economic statistics; Official statistics; Government revenue; Census; State (computer science); Summary statistics; Politics","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":[0.002057759,0.002417084,0.002588884,0.008294649,0.003128405,0.004862059,0.004829648,0.001417856,0.09026457],"category_scores_gemma":[0.01681655,0.0017882,0.001859646,0.04053489,0.0005942757,0.002583199,0.00205636,0.002939499,0.05915546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05250888,"about_ca_system_score_gemma":0.1219967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939495,"about_ca_topic_score_gemma":0.9926308,"domain_scores_codex":[0.9960164,0.0002401518,0.000424976,0.0005170582,0.001869174,0.0009322398],"domain_scores_gemma":[0.9695894,0.001053765,0.001064583,0.0009658427,0.02586919,0.001457263],"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":[0.00002143902,0.000005543376,0.0007489464,0.0001762652,0.00001500689,0.000005570207,0.00001585419,0.00009012393,0.000007105506,0.0003454536,0.9973319,0.001237003],"study_design_scores_gemma":[0.0001367911,0.00001080383,0.01980725,0.0006527653,0.00005056588,0.00002223865,0.0003525467,0.0004245676,0.0001693271,0.0005925418,0.9777069,0.00007362648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004541984,0.00003858832,0.00001739105,0.0001076934,0.00002413626,0.00001162453,0.9988141,0.00004951363,0.0008915577],"genre_scores_gemma":[0.0007010337,0.0002276093,0.0002950193,0.0001264067,0.00001605981,0.00009303383,0.9943168,0.00009648779,0.004127515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09026457,"threshold_uncertainty_score":0.3809803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567736084238823,"score_gpt":0.2424458219615529,"score_spread":0.2267684611191647,"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."}}