{"id":"W6939023708","doi":"10.6068/dp14ba8913bea97","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: Music, Unearned revenue from federal sector, 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; Economic statistics; Socioeconomic status; Publication; 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":[0.001672167,0.002476736,0.002478649,0.009185626,0.003071442,0.004998593,0.005330312,0.001508108,0.083457],"category_scores_gemma":[0.01663785,0.001569716,0.001684352,0.04449899,0.0006973814,0.002655417,0.002143307,0.002974654,0.05651945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04214284,"about_ca_system_score_gemma":0.1110966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920954,"about_ca_topic_score_gemma":0.990338,"domain_scores_codex":[0.9963128,0.000204212,0.0003929197,0.0005284117,0.001686505,0.0008751591],"domain_scores_gemma":[0.9713978,0.001165132,0.0009946083,0.0008888579,0.024167,0.001386533],"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":[0.00001619194,0.000005115628,0.0007280392,0.0001412887,0.00001243096,0.000005599505,0.00001342407,0.00009262496,0.000006844515,0.0003106493,0.9977245,0.000943318],"study_design_scores_gemma":[0.0001203818,0.000008456602,0.01668081,0.0006131851,0.00004780817,0.00002335668,0.0004082746,0.0005105872,0.0001688468,0.0006249968,0.9807273,0.00006588594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004088669,0.00003161485,0.00001586202,0.00009383623,0.00001788031,0.000007843538,0.9991085,0.00004210848,0.0006414708],"genre_scores_gemma":[0.0005397561,0.0001619989,0.0001884183,0.00008976369,0.00001179186,0.00006073837,0.9963692,0.00006580669,0.002512507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.083457,"threshold_uncertainty_score":0.3057691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220074283479252,"score_gpt":0.2281376942898282,"score_spread":0.2059369514550357,"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."}}