{"id":"W6957651238","doi":"10.6068/dp14ba8afea7f38","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | 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: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Census; Entertainment; Amusement; Descriptive statistics; Socioeconomic status; Publication; Tourism; Official statistics; The arts","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":[0.001856793,0.002641215,0.002551948,0.009828793,0.00349735,0.005328095,0.005506344,0.001524828,0.08542408],"category_scores_gemma":[0.01789709,0.001598615,0.001875048,0.04585699,0.0007224091,0.002756026,0.002239821,0.003032633,0.05602118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04902316,"about_ca_system_score_gemma":0.127801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994611,"about_ca_topic_score_gemma":0.9929734,"domain_scores_codex":[0.9959103,0.0002214324,0.0004255536,0.0005715091,0.001896755,0.0009745898],"domain_scores_gemma":[0.9692683,0.001145216,0.0009813751,0.0009228401,0.02626916,0.001413194],"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":[0.00001974225,0.000005588055,0.0008294936,0.0001776479,0.00001486739,0.000006610455,0.00001723997,0.000099718,0.000008459934,0.0003622292,0.9972344,0.001223985],"study_design_scores_gemma":[0.0001203624,0.000009334693,0.01800218,0.000662914,0.00005510513,0.0000244477,0.0004504837,0.0004972472,0.0001822945,0.0006177262,0.9793042,0.00007356505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004397153,0.00003918712,0.00001843971,0.0001028119,0.00002050764,0.000009669409,0.9989753,0.00004890161,0.0007412667],"genre_scores_gemma":[0.0006347483,0.0002056737,0.0002524253,0.0001028406,0.0000133322,0.000072651,0.9955771,0.00007993248,0.003061359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08542408,"threshold_uncertainty_score":0.3556896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182601717234607,"score_gpt":0.2388127211066975,"score_spread":0.2205525493832368,"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."}}