{"id":"W6976492610","doi":"10.6068/dp14ba83b52e196","title":"Trend 1977 - 2004. Statistics Canada. CANSIM: Government - Balance Sheets | Country: Canada | Table: Net financial debt of federal, provincial and territorial general and local governments | Variable: Consolidated general government, net financial debt (x 1,000,000) | Units: $CAD, 1977-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-103.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance sheet; Economic statistics; Government (linguistics); Debt; Official statistics; Government debt; Net worth; Census; Summary 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002069653,0.002318513,0.00236622,0.009346512,0.003692892,0.005411823,0.004770441,0.001505892,0.1138819],"category_scores_gemma":[0.01907606,0.001801494,0.001856566,0.04017523,0.0006783637,0.002845255,0.002298304,0.003010315,0.06869312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05917126,"about_ca_system_score_gemma":0.1468644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951608,"about_ca_topic_score_gemma":0.993739,"domain_scores_codex":[0.9955021,0.0002411263,0.0004177277,0.0005412878,0.002295009,0.001002786],"domain_scores_gemma":[0.9614977,0.001154149,0.0009860008,0.001104743,0.03367056,0.001586772],"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":[0.00001881494,0.000005868509,0.0008670894,0.0001722668,0.00001535055,0.00000666166,0.00002018046,0.00009793607,0.000008797635,0.000440654,0.9964605,0.001885827],"study_design_scores_gemma":[0.000086498,0.000008021525,0.0152408,0.0005386176,0.00004009773,0.00001959886,0.0003266945,0.000343271,0.0001508202,0.0006066338,0.982573,0.00006590425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005983603,0.00005860319,0.00003273975,0.00014951,0.00003683375,0.00001733133,0.9979376,0.0000845518,0.001623061],"genre_scores_gemma":[0.001052347,0.0003477209,0.0005319965,0.0001814756,0.00002302194,0.0001260373,0.9898543,0.000170692,0.007712573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8861181,"threshold_uncertainty_score":0.4293196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114663606637285,"score_gpt":0.2210239663235458,"score_spread":0.2095576056598173,"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."}}