{"id":"W6976623303","doi":"10.6068/dp14ba86d6e5218","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: Opera, Subscription ticket sales, 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; Entertainment; Amusement; Descriptive statistics; Per capita; Commission; Tourism; Socioeconomic status; Ticket","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":[0.001721118,0.002622063,0.002559714,0.01018754,0.003378959,0.005204028,0.005501291,0.001460892,0.08139574],"category_scores_gemma":[0.01713817,0.001639919,0.001836882,0.04772202,0.000716824,0.002748581,0.002205534,0.002931075,0.05304083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0493139,"about_ca_system_score_gemma":0.1292478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994682,"about_ca_topic_score_gemma":0.993295,"domain_scores_codex":[0.9959027,0.0002073872,0.000424582,0.0005685882,0.001917107,0.0009797176],"domain_scores_gemma":[0.9698936,0.001094904,0.0009927637,0.000902348,0.02569014,0.001426296],"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":[0.00001872445,0.000005293627,0.0008210428,0.0001695196,0.00001462563,0.000006460533,0.00001639674,0.00009906151,0.000008457368,0.0003687663,0.9973094,0.001162147],"study_design_scores_gemma":[0.0001143487,0.000008969684,0.01802478,0.0006174653,0.00005573253,0.00002497691,0.0004256075,0.0005157871,0.000188292,0.0006272694,0.9793239,0.00007285528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004552603,0.00004024829,0.00001858729,0.0001036094,0.00001991079,0.000008916962,0.9989855,0.00004770728,0.0007301056],"genre_scores_gemma":[0.0006803627,0.0002103552,0.0002502355,0.0001021636,0.00001335332,0.00006611209,0.9955078,0.0000804899,0.003088963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08139574,"threshold_uncertainty_score":0.3577991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120538560963257,"score_gpt":0.2313122306756545,"score_spread":0.2101068450660219,"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."}}