{"id":"W6920042480","doi":"10.6068/dp14ba848bc1b57","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Canadian summary characteristics of performing arts, by discipline and company size | Variable: Total paid persons, Music, Total, all company sizes | Units: #, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-048.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Descriptive statistics; Economic statistics; Official statistics; The arts; Statistics education; Population; Recreation; Publication; Population 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":[0.001891615,0.002930408,0.002981964,0.009484113,0.003435189,0.005054633,0.005636668,0.001415227,0.07920484],"category_scores_gemma":[0.01466807,0.001699909,0.002562315,0.04495537,0.0006686797,0.002717712,0.00238338,0.003381917,0.04660081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04767323,"about_ca_system_score_gemma":0.122228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953583,"about_ca_topic_score_gemma":0.9938331,"domain_scores_codex":[0.9957502,0.0002349107,0.0004267649,0.000525772,0.001979348,0.00108301],"domain_scores_gemma":[0.970822,0.0008499742,0.0009350782,0.0007486382,0.02519869,0.001445625],"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":[0.00002866014,0.000007498295,0.001441373,0.0002620565,0.00002391187,0.000007901355,0.00002695326,0.0001052039,0.00000889595,0.0003640141,0.9962286,0.001494925],"study_design_scores_gemma":[0.0001714767,0.00001663177,0.04091407,0.001028587,0.00008938625,0.00003410809,0.0007962163,0.000563919,0.0002071187,0.0006451868,0.9554256,0.0001077211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006291796,0.00004880766,0.00002123268,0.0001082794,0.00002607276,0.00001197107,0.9988949,0.00004654218,0.000779368],"genre_scores_gemma":[0.0009173788,0.000261921,0.0002759167,0.000132162,0.00001745681,0.0001058181,0.9944474,0.0000844374,0.003757605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07920484,"threshold_uncertainty_score":0.3458951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258973515528886,"score_gpt":0.2372148723463605,"score_spread":0.2146251371910717,"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."}}