{"id":"W6976844695","doi":"10.6068/dp14ba7b930bc79","title":"Trend 1961 - 2011. Statistics Canada. CANSIM: Economic Accounts - Financial and Wealth Accounts | Country: Canada | Table: National balance sheet, life insurance business | Variable: Bonds (x 1,000,000), Book value | Units: $CAD, 1961-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-059.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National accounts; Economic statistics; Balance sheet; National Income and Product Accounts; Census; Official statistics; Life insurance; Index (typography); Flow of funds; Value (mathematics)","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":[0.001777842,0.002167008,0.002292115,0.009111372,0.003018275,0.004926808,0.004325205,0.001388996,0.10419],"category_scores_gemma":[0.01733531,0.00144614,0.001625987,0.04008341,0.0006145021,0.002810471,0.002142058,0.002934168,0.07452043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04420111,"about_ca_system_score_gemma":0.1067389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902731,"about_ca_topic_score_gemma":0.9881964,"domain_scores_codex":[0.9960795,0.0002279835,0.0003768647,0.0005418092,0.001897649,0.0008762423],"domain_scores_gemma":[0.9688509,0.001093019,0.001025154,0.001039375,0.02664618,0.001345467],"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":[0.00001310715,0.000003802802,0.000616779,0.0001504718,0.00001220812,0.000005943873,0.00001577267,0.00008222684,0.000008172389,0.0003528173,0.9974666,0.00127205],"study_design_scores_gemma":[0.00006683038,0.000005805136,0.01261604,0.0004981311,0.00003390939,0.00002028278,0.0002952521,0.0003271302,0.0001319627,0.0005434761,0.985402,0.00005918269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000424215,0.00004205594,0.00002190457,0.00009483773,0.0000217713,0.00001023453,0.9987903,0.00006170974,0.0009147652],"genre_scores_gemma":[0.0006062061,0.0002238593,0.0003023589,0.0001086547,0.00001668709,0.00008256689,0.9942227,0.0001071089,0.004329865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.10419,"threshold_uncertainty_score":0.3485504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869740936644617,"score_gpt":0.24009466906124,"score_spread":0.2213972596947938,"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."}}