{"id":"W6901637187","doi":"10.6068/dp14ba87b9a2543","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 foundations, 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; Revenue; Amusement; Descriptive statistics; Socioeconomic status; Economic statistics; Tourism; Publication","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":[0.001843034,0.002620957,0.002552768,0.009873159,0.00359192,0.005343248,0.005547131,0.001513255,0.08248147],"category_scores_gemma":[0.01807629,0.001628554,0.001867279,0.04628093,0.000734576,0.0027412,0.002266388,0.003010876,0.05373426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05201229,"about_ca_system_score_gemma":0.1342365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949609,"about_ca_topic_score_gemma":0.9937136,"domain_scores_codex":[0.9958335,0.0002167901,0.0004330497,0.0005724576,0.001950866,0.0009932606],"domain_scores_gemma":[0.9688589,0.001128974,0.0009871677,0.000925224,0.02661896,0.00148077],"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":[0.00001902151,0.000005299168,0.0008424738,0.0001649164,0.00001430625,0.000006385936,0.00001679273,0.00009402714,0.000008099059,0.0003543483,0.9973142,0.001160252],"study_design_scores_gemma":[0.0001234223,0.000009407231,0.01847318,0.0006693492,0.00005672924,0.00002522423,0.0004580685,0.0004962322,0.0001857157,0.0006282443,0.9788008,0.00007348132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004622756,0.00004048427,0.00001847404,0.0001113755,0.0000214798,0.00001000496,0.9989328,0.00004814375,0.0007709427],"genre_scores_gemma":[0.0006694098,0.0002132355,0.0002482179,0.0001110058,0.00001390168,0.00007385848,0.9954304,0.00007829616,0.003161714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08248147,"threshold_uncertainty_score":0.3773773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986038618237247,"score_gpt":0.2334814533861185,"score_spread":0.213621067203746,"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."}}