{"id":"W6957770305","doi":"10.6068/dp14ba885250692","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: Opera, Unearned revenue from corporate sponsorships, Large 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":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; The arts; Performing arts; Statistics education; Economic statistics; Descriptive statistics; Revenue; Population","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":[0.001651099,0.002836508,0.002701299,0.008972292,0.003629275,0.005754943,0.005666879,0.001572495,0.08925245],"category_scores_gemma":[0.01516947,0.001627951,0.001960239,0.04003514,0.000758288,0.002887433,0.002320416,0.003269551,0.06373753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04244313,"about_ca_system_score_gemma":0.1075881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925535,"about_ca_topic_score_gemma":0.9915929,"domain_scores_codex":[0.9962351,0.0001988803,0.0003633769,0.0005868667,0.001670444,0.0009453085],"domain_scores_gemma":[0.9715614,0.0009985106,0.0009534299,0.0009005088,0.02421405,0.001372031],"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":[0.00002299577,0.000005887542,0.0009690615,0.0001684496,0.0000150397,0.000006508965,0.00001541327,0.0000894589,0.000008566699,0.0002798022,0.9972641,0.00115466],"study_design_scores_gemma":[0.0001501883,0.00001089424,0.02149642,0.0007064447,0.0000559613,0.00002611987,0.0004747787,0.0005351619,0.0001968056,0.0006369809,0.9756271,0.00008304419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004656043,0.00003493516,0.00001592681,0.0000950757,0.00002137601,0.000008350102,0.9990921,0.00004561956,0.0006399706],"genre_scores_gemma":[0.0005395511,0.0001536323,0.0001834028,0.00008948542,0.00001329477,0.00006342489,0.9963153,0.00006391003,0.002578026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08925245,"threshold_uncertainty_score":0.3079479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084368995525308,"score_gpt":0.2435934314405264,"score_spread":0.2227497414852734,"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."}}