{"id":"W6957800860","doi":"10.6068/dp14ba84c13b369","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Canadian summary characteristics of performing arts, by discipline and company size | Variable: Total performances, Theatre, Small size companies | Units: #, 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; Official statistics; 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":[0.002041396,0.002707429,0.002707617,0.01052035,0.003772224,0.005551359,0.005625539,0.001555768,0.08217148],"category_scores_gemma":[0.01851677,0.00163731,0.002060201,0.04906262,0.0007473379,0.002957773,0.002376108,0.003164044,0.05394259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05228804,"about_ca_system_score_gemma":0.1483377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954486,"about_ca_topic_score_gemma":0.9940422,"domain_scores_codex":[0.9952009,0.0002605255,0.0005083669,0.0006415111,0.002257844,0.001130985],"domain_scores_gemma":[0.9636376,0.001188847,0.001100556,0.001004876,0.03146762,0.001600427],"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":[0.00002156993,0.000005806099,0.0009461322,0.0002082283,0.00001814817,0.000007242212,0.00002064267,0.0001012476,0.00001005195,0.0003827885,0.9969804,0.001297682],"study_design_scores_gemma":[0.0001150232,0.000009969142,0.02014728,0.0007553237,0.00006358137,0.00002622909,0.0005232544,0.0004692992,0.0001907877,0.0006211933,0.9769971,0.00008084471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004815522,0.00004483679,0.00002164946,0.000120867,0.00002513109,0.00001126427,0.9988602,0.00005210735,0.0008157109],"genre_scores_gemma":[0.0007062252,0.000241944,0.0002957791,0.00013077,0.00001617647,0.00008496483,0.9949914,0.00009630275,0.003436424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08217148,"threshold_uncertainty_score":0.3793781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725195324009709,"score_gpt":0.2177219245255945,"score_spread":0.2004699712854974,"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."}}