{"id":"W6957988530","doi":"10.6068/dp14ba8a8ec9287","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Canadian financial summary of performing arts, by discipline and company size | Variable: Total performing arts disciplines, Administration expenses, Large size companies | Units: $CAD x 1,000, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-048.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Descriptive statistics; The arts; Statistics education; Economic statistics; Population; Official statistics; Publication; Socioeconomic status; Tourism","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":[0.001748648,0.00271738,0.002710356,0.008786282,0.003108948,0.004721214,0.005298235,0.001392717,0.08020671],"category_scores_gemma":[0.01392516,0.001651771,0.002303346,0.04084497,0.0006251679,0.002556992,0.002224582,0.00327426,0.04753963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04359448,"about_ca_system_score_gemma":0.1095846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943704,"about_ca_topic_score_gemma":0.992712,"domain_scores_codex":[0.9962999,0.0001996138,0.0003752151,0.0004644968,0.001715714,0.0009451285],"domain_scores_gemma":[0.9744736,0.0007749064,0.0008385506,0.0006574318,0.02201469,0.001240822],"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":[0.00002682617,0.000007075379,0.001314958,0.000229452,0.00002106862,0.000007308628,0.00002164969,0.000104076,0.000007958325,0.0003306071,0.9965339,0.001395176],"study_design_scores_gemma":[0.0001764202,0.00001546177,0.03855251,0.0009583632,0.00008325729,0.00003175695,0.0006751148,0.0005631786,0.0002004539,0.0006426484,0.9580007,0.0001001643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005758135,0.00004245029,0.00001839401,0.0001029052,0.00002382752,0.00001048955,0.9989955,0.00004075838,0.0007081847],"genre_scores_gemma":[0.0008391609,0.0002263572,0.0002421883,0.0001149314,0.00001586866,0.00009407813,0.9948732,0.00007156425,0.003522704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08020671,"threshold_uncertainty_score":0.3163016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010088745302127,"score_gpt":0.2506230817198579,"score_spread":0.2305221942668366,"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."}}