{"id":"W6901584552","doi":"10.6068/dp14ba866112539","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: Theatre, Subscription ticket sales, 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; 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":[0.001815565,0.002697987,0.00262818,0.009990288,0.003435238,0.005353811,0.005523761,0.001556426,0.08180174],"category_scores_gemma":[0.01739655,0.001631481,0.001909609,0.04694292,0.000733863,0.002771109,0.002216065,0.003022596,0.05620146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04816402,"about_ca_system_score_gemma":0.1255383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945073,"about_ca_topic_score_gemma":0.9927707,"domain_scores_codex":[0.9959118,0.0002172887,0.000428718,0.0005749306,0.001885532,0.0009817163],"domain_scores_gemma":[0.9701247,0.001106373,0.0009759046,0.000909242,0.02549102,0.001392756],"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":[0.00002009866,0.000005542245,0.0008278142,0.0001784956,0.00001517347,0.000006757489,0.00001672573,0.00009893005,0.000008424906,0.0003384827,0.9973071,0.001176438],"study_design_scores_gemma":[0.0001239753,0.000009680195,0.01804576,0.0006636771,0.00005722604,0.00002499298,0.0004426692,0.000504156,0.0001821502,0.0006073469,0.9792647,0.00007358882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004313514,0.0000391601,0.00001714086,0.00009960269,0.0000202937,0.000009002141,0.9990427,0.00004708695,0.000681838],"genre_scores_gemma":[0.000618032,0.0001996236,0.0002299909,0.00009820676,0.00001334056,0.00006712971,0.9958308,0.00007585235,0.002867023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08180174,"threshold_uncertainty_score":0.3494561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725949581568319,"score_gpt":0.2247271013478578,"score_spread":0.2074676055321746,"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."}}