{"id":"W6938869607","doi":"10.6068/dp14ba7d4a8c539","title":"Trend 1999 - 2011. 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: Accounts payable and accrued liabilities, All industries | 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; Income statement; Official statistics; Census; Payroll; Goods and services; Descriptive 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":[0.001857679,0.002448449,0.002621724,0.009216229,0.003517666,0.005465904,0.005137992,0.001569166,0.08593118],"category_scores_gemma":[0.01773296,0.001732372,0.001943386,0.04280433,0.0006558992,0.002829541,0.00231511,0.003251026,0.06546337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04859425,"about_ca_system_score_gemma":0.1280072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928262,"about_ca_topic_score_gemma":0.9914568,"domain_scores_codex":[0.9958502,0.0002333478,0.0004392045,0.0005498622,0.001980502,0.0009468287],"domain_scores_gemma":[0.9639417,0.001184995,0.00109841,0.00107824,0.03123314,0.001463495],"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":[0.00001812239,0.000005522749,0.0007354633,0.0001780928,0.00001439847,0.000006154171,0.0000154338,0.00008158658,0.000007314695,0.0003187391,0.9973888,0.001230307],"study_design_scores_gemma":[0.0001074835,0.00000891333,0.01768729,0.0006960634,0.00004987792,0.00002205729,0.0003799741,0.000362929,0.0001598098,0.0006004329,0.9798557,0.00006958175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004484677,0.00004480696,0.0000179683,0.0001091054,0.00002544242,0.00001037011,0.9989015,0.00004935252,0.0007966335],"genre_scores_gemma":[0.000545498,0.0002195292,0.0002377299,0.0001120558,0.00001598265,0.00007407264,0.9952253,0.00007829914,0.003491517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08593118,"threshold_uncertainty_score":0.3525776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717491003355315,"score_gpt":0.2308848838709774,"score_spread":0.2137099738374243,"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."}}