{"id":"W6920130144","doi":"10.6068/dp14ba8576f0e63","title":"Trend 1999 - 2005. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Balance sheet and income statement of federal government business enterprises, by North American Industry Classification System (NAICS), end of fiscal year closest to December 31 | Variable: Other Canadian investments, All other service industries | Units: $CAD x 1,000, 1999-2005. 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; Income statement; Official statistics; Census; Goods and services; Politics; Index (typography)","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":[0.001725535,0.002407259,0.00250205,0.009025614,0.003361636,0.005133186,0.005055727,0.001501133,0.07993701],"category_scores_gemma":[0.01598316,0.001616946,0.001775834,0.04165096,0.0006375299,0.002645357,0.00214482,0.002984184,0.06197163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04585874,"about_ca_system_score_gemma":0.115033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927729,"about_ca_topic_score_gemma":0.9912876,"domain_scores_codex":[0.9962701,0.0002065125,0.0003819173,0.0005243443,0.001736506,0.0008806304],"domain_scores_gemma":[0.9698346,0.001003619,0.001003273,0.0009697054,0.02582671,0.001361965],"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":[0.0000178532,0.000005339065,0.0007290372,0.0001543027,0.00001385235,0.000005947547,0.00001468728,0.0000820732,0.000007406784,0.0003116971,0.9975026,0.001155105],"study_design_scores_gemma":[0.0001073371,0.000009065465,0.01721036,0.0006241516,0.00004671112,0.00002174736,0.0003731957,0.0003905033,0.0001661701,0.0005794767,0.9804047,0.0000666679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004292243,0.00003652175,0.00001694829,0.0000903473,0.00002188109,0.000008910829,0.9990308,0.00004788005,0.0007038651],"genre_scores_gemma":[0.0005247646,0.0001719931,0.0002227392,0.00009416936,0.00001337561,0.00006310082,0.9958426,0.00006912447,0.002998089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07993701,"threshold_uncertainty_score":0.33273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862976566049546,"score_gpt":0.2314903592390077,"score_spread":0.2128605935785122,"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."}}