{"id":"W6975942805","doi":"10.6068/dp14ba8917ba725","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: Dance, Total earned revenue from tour performances, Large 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":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Descriptive statistics; Economic statistics; Statistics education; Recreation; Revenue; The arts; Population; Official statistics; Tourism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006097782,0.000529289,0.0009341575,0.00006588644,0.0006837476,0.0002061888,0.0008005892,0.0003276495,0.001025666],"category_scores_gemma":[0.0005129584,0.0005375537,2.049633e-7,0.0005004423,0.000592956,0.000497809,0.0003553431,0.0007604072,0.000001579136],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650438,"about_ca_system_score_gemma":0.01863247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999882,"about_ca_topic_score_gemma":0.9999558,"domain_scores_codex":[0.9965391,0.0003311157,0.0005614093,0.0008028342,0.0009815376,0.0007840666],"domain_scores_gemma":[0.9973648,0.0005849395,0.0005503114,0.0006552263,0.0001476912,0.0006970026],"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":[0.00006702819,0.00002410385,0.00058634,0.0002900861,0.0001043231,0.0001436386,0.00006869591,0.000004191569,0.000002538609,0.0009843688,0.9976239,0.0001008434],"study_design_scores_gemma":[0.0006898318,0.00003829057,0.0002689676,0.0001203968,0.0002023911,0.00002939961,0.001264639,0.0006176454,1.665186e-8,2.170306e-7,0.9961487,0.0006194766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004055884,0.01320407,9.326915e-7,0.000004045836,0.0007265879,0.000432203,0.981769,0.00002243897,0.003800163],"genre_scores_gemma":[0.0004149115,0.003545881,0.0001693942,0.00006366795,0.0004580065,0.000004249174,0.9845614,0.00009240851,0.01069007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01816742,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645937598370397,"score_gpt":0.2378101913519657,"score_spread":0.2213508153682617,"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."}}