{"id":"W6901541814","doi":"10.6068/dp14ba8d2eacd61","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Spectator sports, event promoters, artists and related industries, operating expenses, by North American Industry Classification System (NAICS) | Variable: Salaries, wages and benefits, Promoters (presenters) of performing arts, sports and similar events | Units: %, 2007-2011. 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; Amusement; Entertainment; Event (particle physics); Official statistics; Socioeconomic status; Descriptive statistics; Tourism","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":[0.001611524,0.00269337,0.002849158,0.008303892,0.002627559,0.004738973,0.005580465,0.001599424,0.07277086],"category_scores_gemma":[0.01493008,0.001611657,0.002112085,0.04117847,0.0006808703,0.002521592,0.00204224,0.003412109,0.06028152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03404497,"about_ca_system_score_gemma":0.09354039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9870297,"about_ca_topic_score_gemma":0.9867777,"domain_scores_codex":[0.9963657,0.0002135637,0.000396123,0.0005907486,0.001602827,0.0008310275],"domain_scores_gemma":[0.9732385,0.001238191,0.001009801,0.0008360223,0.02235174,0.001325748],"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":[0.00001795372,0.000006158381,0.0009597923,0.0001667337,0.00001683854,0.000004956966,0.00001125624,0.00009621026,0.000007328493,0.0001950043,0.9976561,0.0008616751],"study_design_scores_gemma":[0.0002048886,0.00001284124,0.02430939,0.0007879713,0.0000679482,0.00002673677,0.0004667235,0.0006591593,0.0001932585,0.0006099091,0.9725792,0.00008189875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005128256,0.0000375781,0.00001438374,0.00008454356,0.00002222542,0.000007490119,0.9992629,0.00004292442,0.0004767038],"genre_scores_gemma":[0.0004095749,0.000126814,0.0001308347,0.00008047733,0.00001380709,0.000051835,0.9974247,0.0000497458,0.001712186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07277086,"threshold_uncertainty_score":0.2470147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984707919894509,"score_gpt":0.2262813653133628,"score_spread":0.2064342861144177,"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."}}