{"id":"W6938810525","doi":"10.6068/dp14ba845c14a77","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: Other assets, 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":"Government (linguistics); Economic statistics; 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":[0.001833831,0.002431466,0.002618135,0.009387862,0.003509367,0.005393733,0.005095535,0.001520067,0.0839472],"category_scores_gemma":[0.01743663,0.001744313,0.001940812,0.04451383,0.000646657,0.002811281,0.002270901,0.003190658,0.06024547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05081698,"about_ca_system_score_gemma":0.1312668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993701,"about_ca_topic_score_gemma":0.9922787,"domain_scores_codex":[0.9957429,0.0002318039,0.0004594701,0.0005447061,0.002039613,0.0009814543],"domain_scores_gemma":[0.9641898,0.001135333,0.001100198,0.00101618,0.03111224,0.001446191],"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":[0.00001948936,0.000005962735,0.0008504282,0.0001920699,0.00001554008,0.000006663213,0.00001698939,0.00008791076,0.000007473569,0.0003367015,0.9971415,0.001319232],"study_design_scores_gemma":[0.0001146852,0.000009891103,0.0211392,0.0007267245,0.00005453255,0.00002386664,0.0004325266,0.0003985091,0.0001680738,0.0005927646,0.9762665,0.00007275753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000505093,0.00004711807,0.00001819339,0.0001149835,0.00002613507,0.00001112748,0.9988453,0.00004768476,0.000838891],"genre_scores_gemma":[0.0006377844,0.0002405862,0.0002458593,0.000115131,0.00001677452,0.00007966469,0.9947059,0.00007845915,0.003879963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0839472,"threshold_uncertainty_score":0.3687047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244087128247667,"score_gpt":0.2269386706740857,"score_spread":0.214497799391609,"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."}}