{"id":"W6976839737","doi":"10.6068/dp14ba84fed1942","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: Total libraries, Total federal government 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":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic statistics; Official statistics; Census; Population; Descriptive statistics; Government spending; Socioeconomic status; 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":[],"consensus_categories":[],"category_scores_codex":[0.002036106,0.002401983,0.002553539,0.00895727,0.003114302,0.004617677,0.004746529,0.001329663,0.08154375],"category_scores_gemma":[0.01528647,0.001633486,0.00207336,0.04079894,0.0005949895,0.002433245,0.002122181,0.002968203,0.04483818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05865991,"about_ca_system_score_gemma":0.139479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956113,"about_ca_topic_score_gemma":0.9941502,"domain_scores_codex":[0.9959058,0.0002376482,0.0003866546,0.0004689491,0.002041575,0.0009593597],"domain_scores_gemma":[0.9707619,0.0008792436,0.0008748344,0.0007427059,0.025317,0.001424239],"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":[0.00002442665,0.000007102773,0.001068815,0.0002130391,0.00001948345,0.000007156999,0.00002042479,0.000109844,0.00000831215,0.0004018791,0.9962829,0.001836619],"study_design_scores_gemma":[0.0001424988,0.00001253165,0.02861132,0.0007637013,0.00006968636,0.00002624442,0.0004770385,0.0005354146,0.0001813774,0.0006744685,0.9684263,0.00007950763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006716056,0.00006084179,0.0000260914,0.0001485904,0.00003091252,0.00001480164,0.9984952,0.00005876683,0.001097626],"genre_scores_gemma":[0.001132567,0.0003535961,0.0004344046,0.0001795775,0.00002082165,0.000126528,0.9917887,0.0001204391,0.005843505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08154375,"threshold_uncertainty_score":0.4256094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202141806793949,"score_gpt":0.2587843875997339,"score_spread":0.238570206920339,"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."}}