{"id":"W6976482477","doi":"10.6068/dp14ba88b6cce68","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 municipal sector, 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":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Census; Revenue; Entertainment; 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":[0.001751302,0.002494839,0.002452823,0.009593128,0.003132943,0.005106096,0.005262095,0.001453342,0.08497541],"category_scores_gemma":[0.01695147,0.001627482,0.001670773,0.04676104,0.0006972167,0.002684816,0.0021601,0.002970013,0.05581294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04510402,"about_ca_system_score_gemma":0.1214496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930981,"about_ca_topic_score_gemma":0.9910603,"domain_scores_codex":[0.9960373,0.0002143467,0.00041839,0.0005435459,0.001840338,0.0009461517],"domain_scores_gemma":[0.9693553,0.001201017,0.00104967,0.000902696,0.02603037,0.001460823],"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":[0.00001761715,0.00000557966,0.0008163909,0.0001531943,0.00001293548,0.000006166981,0.00001536046,0.0000968282,0.000007307675,0.0003303397,0.9974565,0.001081897],"study_design_scores_gemma":[0.0001152735,0.000008875213,0.01884524,0.0006385311,0.00004844471,0.0000239317,0.0004439603,0.0005048445,0.0001774526,0.0006063118,0.9785206,0.00006650458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000446796,0.00003266411,0.00001601796,0.00009541333,0.00001745918,0.00000869736,0.9990521,0.00004282971,0.0006901727],"genre_scores_gemma":[0.0005936411,0.0001761984,0.0002037115,0.00009189996,0.00001169926,0.00006759328,0.9958263,0.00007226034,0.002956755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08497541,"threshold_uncertainty_score":0.3272541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267415549097018,"score_gpt":0.2269236240674961,"score_spread":0.2142494685765259,"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."}}