{"id":"W6957919540","doi":"10.6068/dp14ba883510c93","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Spectator sports, event promoters, artists and related industries, operating expenses, by North American Industry Classification System (NAICS) | Variable: Subcontract expenses, Independent artists, writers and performers | Units: %, 2007-2011. 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; Census; Amusement; Entertainment; Event (particle physics); Official statistics; Socioeconomic status; Descriptive 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":[0.001629753,0.002798354,0.002775824,0.008913536,0.002883327,0.005078068,0.005454857,0.001548737,0.0718423],"category_scores_gemma":[0.01482526,0.001620846,0.002003429,0.04171963,0.0007093134,0.002719664,0.00212381,0.003453425,0.06148124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03748204,"about_ca_system_score_gemma":0.1023821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885456,"about_ca_topic_score_gemma":0.9882526,"domain_scores_codex":[0.9962708,0.0002048953,0.0003873064,0.0005896617,0.001679357,0.0008679766],"domain_scores_gemma":[0.9716893,0.001151622,0.0009731066,0.0008320231,0.02400166,0.001352217],"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":[0.00001714957,0.000005823268,0.000889127,0.0001575889,0.00001554511,0.000004911087,0.00001221919,0.00008932885,0.000008190747,0.0001989547,0.9976967,0.0009043526],"study_design_scores_gemma":[0.0001606744,0.00001095714,0.02170527,0.0007459839,0.0000654976,0.00002608141,0.0004709708,0.0005527578,0.0002060552,0.0005657141,0.975412,0.00007809637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005108455,0.00003964043,0.00001493327,0.00008672662,0.00002242347,0.000007590571,0.9992061,0.00004512557,0.0005264466],"genre_scores_gemma":[0.0004120027,0.0001387821,0.0001414912,0.00007754323,0.00001373129,0.00005034831,0.9972116,0.00005560707,0.001898918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0718423,"threshold_uncertainty_score":0.2719525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799465935350047,"score_gpt":0.2281208778227249,"score_spread":0.2101262184692244,"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."}}