{"id":"W6957829936","doi":"10.6068/dp14ba856cbfc2","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Performing and Visual Arts | Country: Canada | Table: Canadian financial summary of performing arts, by discipline and company size | Variable: Dance, Other personnel salary expenses, Small size companies | Units: $CAD x 1,000, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-050.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; The arts; Performing arts; Descriptive statistics; Economic statistics; Population; Index (typography)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001592815,0.002773644,0.002742705,0.009062181,0.003425584,0.005430391,0.005551596,0.001516378,0.09239165],"category_scores_gemma":[0.01522697,0.001549065,0.002005635,0.03993712,0.0007275674,0.002734369,0.002252693,0.003190206,0.06416976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03982081,"about_ca_system_score_gemma":0.1029864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.99208,"about_ca_topic_score_gemma":0.9907877,"domain_scores_codex":[0.9962764,0.0002054828,0.0003767448,0.0005772031,0.001638466,0.0009256558],"domain_scores_gemma":[0.9721885,0.0009966958,0.0009086424,0.0008536581,0.02375224,0.001300391],"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":[0.00002079464,0.000005065217,0.0008545027,0.0001769803,0.00001503747,0.000006318148,0.00001477908,0.00008497771,0.000007941302,0.0002663234,0.9974491,0.001098252],"study_design_scores_gemma":[0.0001394976,0.000009800503,0.01973122,0.0007077457,0.00005817994,0.00002675416,0.0004562676,0.0004854405,0.000178114,0.0006215514,0.9775055,0.00007988337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00004297369,0.00003758218,0.00001634567,0.00009410005,0.00002203842,0.000007799915,0.9991008,0.00004699292,0.0006313818],"genre_scores_gemma":[0.0005446831,0.0001690144,0.0001933356,0.00009370432,0.00001434353,0.00006460307,0.9962026,0.00007445439,0.002643228],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.99208,"threshold_uncertainty_score":0.3090809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009751840042887,"score_gpt":0.2375606032834207,"score_spread":0.2174630848829919,"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."}}