{"id":"W6977038975","doi":"10.6068/dp14ba8a021694","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: Music, Unearned revenue from corporate donations, Total, all company sizes | 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; Revenue; Entertainment; Amusement; Economic statistics; Descriptive statistics; Socioeconomic status; Official statistics; 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":[0.001620742,0.002468013,0.002436096,0.009048028,0.002970185,0.004956499,0.005277908,0.001539725,0.07798787],"category_scores_gemma":[0.01686094,0.001515686,0.001704254,0.04300381,0.0007200008,0.002604476,0.002165714,0.002930679,0.05673979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04007787,"about_ca_system_score_gemma":0.1002448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903718,"about_ca_topic_score_gemma":0.9887883,"domain_scores_codex":[0.9965064,0.0002056963,0.0003802664,0.0005353518,0.00154828,0.0008240698],"domain_scores_gemma":[0.972399,0.001183933,0.0009754996,0.0009554338,0.02312445,0.001361789],"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":[0.0000170109,0.000004996219,0.0006795218,0.000146993,0.00001263092,0.000005599076,0.00001288275,0.00009232853,0.000007241619,0.0003080055,0.9977967,0.0009161449],"study_design_scores_gemma":[0.0001199545,0.000008045143,0.01429509,0.0006048786,0.00004514735,0.00002265361,0.0003729754,0.0004787145,0.000162569,0.0006113015,0.9832149,0.00006372908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003850242,0.00003237541,0.0000150588,0.0000868625,0.00001706654,0.000007334362,0.9991791,0.00004252265,0.0005811658],"genre_scores_gemma":[0.0004527398,0.0001397809,0.0001680728,0.00007614736,0.00001021685,0.00005405948,0.99698,0.00005640005,0.002062565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07798787,"threshold_uncertainty_score":0.2907866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269632289782489,"score_gpt":0.2290945545105393,"score_spread":0.2021313255322904,"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."}}