{"id":"W6976153127","doi":"10.6068/dp14ba85389b083","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: Theatre, Fundraising expenses, 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; Entertainment; Census; Amusement; Descriptive statistics; Socioeconomic status; Tourism; Publication; Official statistics; The arts","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":[0.001839887,0.002652049,0.002568999,0.009841261,0.003467362,0.005354268,0.00550778,0.001552276,0.08340307],"category_scores_gemma":[0.01768662,0.001614171,0.001905851,0.04630164,0.0007270617,0.002739885,0.002239847,0.003032001,0.05487917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04921105,"about_ca_system_score_gemma":0.1269697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946972,"about_ca_topic_score_gemma":0.9930456,"domain_scores_codex":[0.9959045,0.0002206371,0.0004341706,0.0005738846,0.001887681,0.00097922],"domain_scores_gemma":[0.9698792,0.001127844,0.000979636,0.0009081731,0.02570713,0.001398045],"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":[0.00002002718,0.000005599415,0.0008385797,0.000184789,0.00001529831,0.000006793214,0.00001770914,0.0001000463,0.000008462229,0.000357153,0.9972262,0.001219337],"study_design_scores_gemma":[0.0001208773,0.000009451995,0.01824126,0.0006809738,0.00005668104,0.0000250518,0.0004596178,0.0004935079,0.0001808294,0.0006127282,0.9790451,0.00007394652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339267,0.00003989449,0.00001758778,0.0001012407,0.00002065363,0.000009325467,0.999007,0.00004678403,0.0007140455],"genre_scores_gemma":[0.0006375739,0.0002077895,0.0002449171,0.0001017984,0.00001340534,0.00007164739,0.9956453,0.00007728812,0.003000425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08340307,"threshold_uncertainty_score":0.3570528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922590601249839,"score_gpt":0.2335754374689629,"score_spread":0.2143495314564646,"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."}}