{"id":"W6976566128","doi":"10.6068/dp14ba834c64e60","title":"Trend 2006 - 2011. Statistics Canada. CANSIM: Culture and Leisure - Performing and Visual Arts | Country: Canada | Table: Spectator sports, event promoters, artists and related industries, summary statistics, by North American Industry Classification System (NAICS) | Variable: Spectator sportsá, Operating expenses (x 1,000,000) | Units: , 2006-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-050.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; The arts; Performing arts; Statistics education; Population; Event (particle physics); Official statistics","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":[0.001758342,0.002836847,0.002830518,0.008429769,0.003108076,0.005252537,0.005512018,0.001602891,0.09117409],"category_scores_gemma":[0.01630103,0.001659416,0.00208417,0.03977105,0.0007268867,0.002733612,0.002227527,0.00333064,0.06971474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03684925,"about_ca_system_score_gemma":0.1034911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884335,"about_ca_topic_score_gemma":0.9874279,"domain_scores_codex":[0.9962022,0.0002330193,0.0003955521,0.0006105423,0.001696312,0.0008624333],"domain_scores_gemma":[0.9677923,0.001384197,0.001022717,0.001003549,0.02727513,0.001522049],"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":[0.00002065744,0.000005931751,0.0008152664,0.0001853162,0.00001570694,0.000005086632,0.00001288306,0.00009207797,0.000008543588,0.000203569,0.997645,0.0009900462],"study_design_scores_gemma":[0.0001797135,0.00001190111,0.02007033,0.0007989676,0.00006280949,0.00002520694,0.0004299671,0.0005165167,0.0002042895,0.0006062475,0.9770094,0.00008471832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000392113,0.00003096614,0.00001508571,0.00007740204,0.0000211257,0.000007785834,0.9992526,0.00004864082,0.0005071567],"genre_scores_gemma":[0.0003739524,0.0001283078,0.0001680608,0.00007939954,0.00001343911,0.00005994718,0.9971063,0.00006563754,0.002004955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09117409,"threshold_uncertainty_score":0.3050078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682982037736783,"score_gpt":0.2394154856169878,"score_spread":0.22258566523962,"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."}}