{"id":"W6976361844","doi":"10.6068/dp14ba866038e34","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, Net single 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; Descriptive statistics; Amusement; Per capita; Commission; Tourism; Official statistics; 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":[0.001713626,0.002635192,0.00257406,0.01013788,0.003368588,0.005187185,0.005562226,0.001467803,0.0792986],"category_scores_gemma":[0.01707699,0.001629294,0.001837845,0.04689756,0.0007203653,0.002720419,0.002192639,0.002944278,0.0519794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04889496,"about_ca_system_score_gemma":0.1281823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947403,"about_ca_topic_score_gemma":0.9934268,"domain_scores_codex":[0.9959524,0.0002070841,0.0004120253,0.0005639016,0.001885417,0.0009793148],"domain_scores_gemma":[0.9705209,0.001072632,0.0009803913,0.0008882575,0.02513145,0.001406426],"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":[0.00001889431,0.000005283526,0.0008292194,0.0001651389,0.00001462528,0.000006464596,0.00001596547,0.0001008871,0.000008380757,0.0003622201,0.997324,0.001149],"study_design_scores_gemma":[0.000119447,0.0000093227,0.01829316,0.0006212702,0.00005657673,0.00002577942,0.0004293398,0.0005401656,0.0001922832,0.0006347676,0.9790036,0.00007428882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004668718,0.00004129007,0.00001883223,0.0001053523,0.00002022643,0.00000892658,0.9989888,0.00004858857,0.0007213416],"genre_scores_gemma":[0.0006859769,0.0002104849,0.0002492021,0.0001034141,0.000013679,0.00006494956,0.995552,0.00007891205,0.003041388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0792986,"threshold_uncertainty_score":0.3547594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347669634315418,"score_gpt":0.2266777004285417,"score_spread":0.2032010040853875,"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."}}