{"id":"W6957844535","doi":"10.6068/dp14ba88f055062","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Balance sheet and income statement of provincial and territorial government business enterprises, by North American Industry Classification System (NAICS), end of fiscal year closest to December 31 | Variable: Transfers to appropriated surplus, Personal, business and other services | Units: $CAD x 1,000, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Government (linguistics); Balance sheet; Official statistics; Income statement; Census; Goods and services; Politics; Index (typography); Business statistics","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":[0.001702562,0.002380353,0.002604181,0.009165369,0.003497971,0.005163786,0.004966791,0.001505556,0.07669146],"category_scores_gemma":[0.01640132,0.001665,0.001910822,0.0437014,0.0006420867,0.002626647,0.002209896,0.003100264,0.05528005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04995997,"about_ca_system_score_gemma":0.1273227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939296,"about_ca_topic_score_gemma":0.9928716,"domain_scores_codex":[0.9959553,0.0002156269,0.0004255301,0.0005267455,0.001928178,0.0009486841],"domain_scores_gemma":[0.9675462,0.001008367,0.001030399,0.0009298811,0.02813696,0.001348203],"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":[0.00002066443,0.000006136466,0.0009301677,0.0001910711,0.00001648466,0.000006773373,0.00001768274,0.00009346046,0.00000800253,0.000352201,0.9970568,0.001300514],"study_design_scores_gemma":[0.0001177009,0.00001022645,0.02284613,0.0007260193,0.00005672556,0.00002437062,0.0004667183,0.0004280731,0.00018013,0.0005857676,0.9744819,0.0000762202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005345292,0.0000464132,0.00001730446,0.0001093695,0.00002468353,0.00001058477,0.9988865,0.00004417836,0.0008075716],"genre_scores_gemma":[0.0006678117,0.0002383319,0.0002326081,0.00010882,0.00001580248,0.00007427358,0.9950163,0.00006877488,0.003577284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07669146,"threshold_uncertainty_score":0.3624866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118718569887142,"score_gpt":0.2199288750537632,"score_spread":0.2080570180650489,"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."}}