{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001141277,0.001830403,0.00195198,0.00008707902,0.000779084,0.001493302,0.001448017,0.001058346,0.0003544496],"category_scores_gemma":[0.0002698703,0.001836995,0.000001355485,0.000125965,0.0006228191,0.0007895523,0.002011409,0.001314799,0.000002928634],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602268,"about_ca_system_score_gemma":0.01050958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969974,"about_ca_topic_score_gemma":0.9979915,"domain_scores_codex":[0.9890276,0.0007256945,0.00148973,0.002941,0.003975402,0.001840602],"domain_scores_gemma":[0.9945548,0.0006786508,0.001438366,0.001915063,0.00004508866,0.001368066],"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":[0.001947156,0.0001568611,0.0004706918,0.0009986385,0.0005511871,0.0007180736,0.00002034676,0.00000546675,0.0001440946,0.0002883938,0.9940434,0.0006557138],"study_design_scores_gemma":[0.005487087,0.0004947975,0.00008957322,0.0001513011,0.00085649,0.0004455741,0.0002510606,0.0006106238,0.000001733208,0.000001860228,0.9895964,0.002013529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000135504,0.005089857,0.000006149116,0.00001168064,0.004045075,0.003436524,0.9867716,0.00006120489,0.0004423933],"genre_scores_gemma":[0.00009470759,0.001181827,0.0007165876,0.0001714143,0.01157013,0.0002422894,0.976219,0.0006062443,0.009197783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01055259,"threshold_uncertainty_score":0.9995432,"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."}}