{"id":"W6901724230","doi":"10.6068/dp14ba8a8c1cb69","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: Dance, Earned revenue from tour performances abroad, 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; Descriptive statistics; Tourism; Economic statistics; Official statistics; 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":[0.001662932,0.002535958,0.00250497,0.009331363,0.002991704,0.005039538,0.005411199,0.00151492,0.0830403],"category_scores_gemma":[0.01685148,0.001567675,0.001710665,0.04488033,0.0006928252,0.002657435,0.002162124,0.002959543,0.0564747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04086429,"about_ca_system_score_gemma":0.1057813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916578,"about_ca_topic_score_gemma":0.9897753,"domain_scores_codex":[0.996374,0.0002035951,0.0003994925,0.0005314467,0.001625641,0.0008660076],"domain_scores_gemma":[0.9720086,0.001182457,0.00100025,0.0008964383,0.02354792,0.001364362],"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":[0.00001661077,0.000005117207,0.0007454874,0.0001473373,0.00001284973,0.000005673536,0.00001342281,0.0000939383,0.000006968008,0.0002989068,0.9977182,0.0009354592],"study_design_scores_gemma":[0.0001239766,0.000008731841,0.01703331,0.0006387547,0.00004897295,0.00002415035,0.0004163266,0.0005370891,0.0001717881,0.0006169334,0.9803119,0.00006813429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003927765,0.00003056132,0.00001495489,0.00008717976,0.00001679437,0.000007471597,0.9991875,0.00004048239,0.0005757196],"genre_scores_gemma":[0.0005106514,0.0001531592,0.0001726501,0.000081265,0.00001106806,0.00005848645,0.9967192,0.00006253728,0.002230938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0830403,"threshold_uncertainty_score":0.2964926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720120126732843,"score_gpt":0.2342294659535921,"score_spread":0.2170282646862636,"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."}}