{"id":"W6920331779","doi":"10.6068/dp14ba89d1f2176","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: Opera, Unearned revenue from corporate sponsorships, 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; Revenue; Entertainment; Amusement; Descriptive statistics; Economic statistics; Socioeconomic status; Tourism; 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":[0.001585875,0.002468104,0.002399743,0.009021473,0.002944478,0.004864494,0.005274064,0.001524994,0.07561805],"category_scores_gemma":[0.01641576,0.001495378,0.001688974,0.04265984,0.0007164467,0.002565282,0.002128664,0.002909676,0.05549729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03906406,"about_ca_system_score_gemma":0.09794931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902815,"about_ca_topic_score_gemma":0.9887248,"domain_scores_codex":[0.9965854,0.0002013274,0.0003722537,0.0005328052,0.001498185,0.0008100538],"domain_scores_gemma":[0.9731205,0.001147546,0.0009680263,0.000944316,0.02248665,0.001333008],"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":[0.00001722998,0.000005109111,0.0007216375,0.0001486128,0.00001307748,0.000005732736,0.00001323639,0.0000931596,0.00000744838,0.000303975,0.9977531,0.0009178367],"study_design_scores_gemma":[0.0001200343,0.000008097535,0.0148906,0.000599032,0.00004611657,0.00002292332,0.0003779341,0.0004824927,0.0001634586,0.0006070975,0.9826182,0.00006396463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003815717,0.00003125575,0.00001443878,0.00008212471,0.00001608586,0.000007067569,0.9992344,0.00004072442,0.0005357654],"genre_scores_gemma":[0.0004399515,0.0001296115,0.0001603282,0.00007010028,0.000009500305,0.00005162476,0.9972044,0.00005239394,0.001882085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07561805,"threshold_uncertainty_score":0.2834309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441851964246099,"score_gpt":0.2293582037958617,"score_spread":0.2049396841534007,"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."}}