{"id":"W6901586472","doi":"10.6068/dp14ba8826dc096","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Canadian financial summary of performing arts, by discipline and company size | Variable: Theatre, Artistic personnel contract expenses, Small size companies | Units: $CAD x 1,000, 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; The arts; Statistics education; Official statistics; Population; Tourism; Recreation; Socioeconomic status","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":[0.001768815,0.002796824,0.002762488,0.008766043,0.003066979,0.004695775,0.005507205,0.00147345,0.07969976],"category_scores_gemma":[0.01429354,0.001709756,0.002349809,0.04192066,0.0006369086,0.002610262,0.002249065,0.003355947,0.04767803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04275884,"about_ca_system_score_gemma":0.1078392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993894,"about_ca_topic_score_gemma":0.9919797,"domain_scores_codex":[0.9963034,0.0002038799,0.0003801919,0.0004777446,0.001696673,0.0009380818],"domain_scores_gemma":[0.97483,0.0008030321,0.0008381096,0.0006840298,0.02161666,0.001228118],"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":[0.00002660889,0.000006941807,0.001203925,0.0002342312,0.00002122041,0.000007151312,0.00002046793,0.0001019305,0.000007981967,0.0003139583,0.9967157,0.001339842],"study_design_scores_gemma":[0.0001855985,0.00001516134,0.03628276,0.0009932509,0.00008577433,0.00003192924,0.0006400061,0.0005582922,0.0002036992,0.0006589714,0.9602442,0.0001003722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005147554,0.00004096043,0.00001717365,0.00009845519,0.0000233885,0.000009883832,0.9990785,0.00003951708,0.000640735],"genre_scores_gemma":[0.0007644144,0.0002197232,0.0002298642,0.0001114237,0.00001538046,0.00009357739,0.9953173,0.00006995361,0.003178452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07969976,"threshold_uncertainty_score":0.3102385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157114455189318,"score_gpt":0.2332320222984718,"score_spread":0.2116608777465786,"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."}}