{"id":"W6920210492","doi":"10.6068/dp14ba7bd9b8378","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Government Spending on Culture | Country: Canada | Table: Federal government expenditures on culture, by culture activity | Variable: Arts education, Federal government capital expenditures | Units: $CAD x 1,000, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-047.","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; Official statistics; Census; The arts; Statistics education; Government spending; Population; 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":[0.002029164,0.002374709,0.002546298,0.008837877,0.003109748,0.004573222,0.004779006,0.00134984,0.08080316],"category_scores_gemma":[0.01534806,0.001623133,0.002068261,0.04013132,0.0005957664,0.002405968,0.002101847,0.002958959,0.04430505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05765615,"about_ca_system_score_gemma":0.1402926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956115,"about_ca_topic_score_gemma":0.9941129,"domain_scores_codex":[0.9958957,0.0002405926,0.0003870458,0.0004732051,0.002041517,0.0009619317],"domain_scores_gemma":[0.9712623,0.0008667835,0.0008720227,0.0007469312,0.02485141,0.001400552],"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":[0.00002517833,0.000007179693,0.001080878,0.0002137851,0.00001998407,0.000007359781,0.00002039533,0.000114059,0.000008712235,0.0004252304,0.9962416,0.001835607],"study_design_scores_gemma":[0.0001432915,0.00001248777,0.02782133,0.000751399,0.00007026404,0.00002642307,0.0004645443,0.0005430705,0.000184964,0.0006851346,0.9692178,0.00007939303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006741228,0.00006180555,0.00002662509,0.0001500509,0.00003163849,0.00001472688,0.9984835,0.00005870307,0.001105494],"genre_scores_gemma":[0.001155104,0.0003532035,0.0004433469,0.0001807165,0.00002132722,0.0001238302,0.9917555,0.0001209542,0.00584598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08080316,"threshold_uncertainty_score":0.4183266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671179966592566,"score_gpt":0.2502830915778164,"score_spread":0.2335712919118907,"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."}}