{"id":"W6976385675","doi":"10.6068/dp14ba89b595686","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Education, Training and Learning - Education Finance | Country: Canada | Table: Reconciliation of expenditures of universities and colleges on a Financial Management System (FMS) basis to expenditures on postsecondary education as per Centre for education statistics (CES), for fiscal year ending closest to March 31 | Variable: Expenditures of universities and colleges, Centre for education statistics (CES) basis | Units: $CAD x 1,000, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-068.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Economic statistics; Revenue; Descriptive statistics; Census; Publication; Debt; Socioeconomic status; Official statistics; Higher education","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":[0.001903321,0.002270085,0.002523446,0.009439035,0.00295911,0.004933573,0.004319464,0.001377231,0.07598517],"category_scores_gemma":[0.01545984,0.001637027,0.001761922,0.0439061,0.0006215743,0.002384924,0.00192798,0.003045163,0.04169345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06478796,"about_ca_system_score_gemma":0.1677792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953785,"about_ca_topic_score_gemma":0.993207,"domain_scores_codex":[0.9953014,0.0002576496,0.0004598751,0.0005009471,0.002415401,0.001064728],"domain_scores_gemma":[0.9627731,0.001048101,0.001211082,0.0007775154,0.03260139,0.001588849],"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":[0.0000294262,0.000008153769,0.001241442,0.0002115666,0.00001929355,0.000007567825,0.00001712037,0.0001362386,0.000008432388,0.0004911807,0.9960076,0.001822052],"study_design_scores_gemma":[0.0001288681,0.00001286271,0.03072996,0.0006929,0.00005839198,0.00002619502,0.0003971351,0.0005692247,0.00020127,0.0005869307,0.9665223,0.00007406894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009387828,0.00007902299,0.00002634229,0.0001963725,0.0000404256,0.00001754487,0.9978599,0.00006930836,0.001617238],"genre_scores_gemma":[0.00156278,0.0004448614,0.0004146997,0.0002129074,0.00002834343,0.000110102,0.9892963,0.0001357581,0.007794321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07598517,"threshold_uncertainty_score":0.4700717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703755005661483,"score_gpt":0.2638385083132573,"score_spread":0.2468009582566424,"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."}}