{"id":"W6901407335","doi":"10.6068/dp15cf4870a1885","title":"TREND: (IMF) International Monetary Fund. Historical Government Finance Statistics: Expenditures | Country: Argentina, Australia, Austria, Bahamas, Bahrain, Barbados, Belgium, Benin, Bhutan, Bolivia, Brazil, Bulgaria, Burkina Faso, Burma, Burundi, Cameroon, Canada, Central African Republic, Chad, Chile, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote D'Ivoire, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Egypt, Finland, France, Gabon, Germany, Greece, Guinea, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Ireland, Israel, Italy, Jamaica, Japan, Kuwait, Lesotho, Liberia, Luxembourg, Madagascar, Malaysia, Maldives, Mali, Malta, Mauritius, Mexico, Morocco, Namibia, Nepal, Netherlands, Netherlands Antilles, Nicaragua, Niger, Norway, Pakistan, Panama, Paraguay, Peru, Poland, Portugal, Romania, Rwanda, Saint Kitts and Nevis, Saint Lucia, Senegal, Seychelles, Singapore, South Africa, South Korea, Spain, Sri Lanka, Suriname, Sweden, Switzerland, Syria, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, United Arab Emirates, United Kingdom, United States, Uruguay, Vanuatu, Venezuela, Zambia, Zimbabwe | Government Entity: Central Government Consolidated Accounts | International Monetary Fund Subject: TOTAL EXPENDITURES, EDUCATION, HEALTH, SOCIAL SECURITY & WELFARE, HOUSING & COMMUNITY AMENITIES., 1972 - 1989. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 056-005-003","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Currency; Debt; Revenue; State (computer science); Government revenue; Social security; Public finance","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":[0.001015708,0.002256383,0.001127638,0.006518357,0.0006811926,0.005049708,0.001177087,0.001018806,0.1111956],"category_scores_gemma":[0.004723227,0.0008654993,0.0005801567,0.01645393,0.000302509,0.00350392,0.001021585,0.002164218,0.1561089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710195,"about_ca_system_score_gemma":0.003087981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03473974,"about_ca_topic_score_gemma":0.02100068,"domain_scores_codex":[0.9989232,0.0001133698,0.000186307,0.000173071,0.0004426202,0.000161362],"domain_scores_gemma":[0.9968311,0.0003011527,0.0008135947,0.0001391853,0.001751275,0.000163638],"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":[0.00005397378,0.00001152265,0.000915533,0.0001932885,0.000007477117,0.00001114327,0.00001601757,0.00006269451,0.00002987947,0.0007074599,0.9890927,0.008898229],"study_design_scores_gemma":[0.00007649287,0.00002499653,0.02089286,0.0003256059,0.00002300369,0.00004166511,0.0001127701,0.0001995052,0.000162132,0.0006530766,0.9774683,0.00001961252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001454531,0.002190324,0.0003544121,0.001140451,0.001176101,0.0001096633,0.9324628,0.001499287,0.05961242],"genre_scores_gemma":[0.00655241,0.003997387,0.001386581,0.0003290305,0.0004244506,0.0003417842,0.9068451,0.001233586,0.07888982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9652603,"threshold_uncertainty_score":0.3719864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347767763304262,"score_gpt":0.268210755629939,"score_spread":0.2447330779968963,"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."}}