{"id":"W6920405670","doi":"10.6068/dp14ba86cd37a60","title":"Trend 1997 - 2009. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), household spending on recreation | Variable: Live performing arts, Estimated number of households reporting | Units: , 1997-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","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; Economic statistics; Census; Summary statistics; Consumer Expenditure Survey; Household income; Descriptive statistics; Socioeconomic status; Official statistics; 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":[0.002323018,0.002406436,0.00260652,0.00768903,0.003393542,0.004585727,0.005062078,0.0013858,0.08459073],"category_scores_gemma":[0.01668272,0.001728998,0.002230424,0.03549931,0.0005570498,0.002455748,0.002427569,0.003338252,0.04646805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05230335,"about_ca_system_score_gemma":0.1205418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948088,"about_ca_topic_score_gemma":0.99293,"domain_scores_codex":[0.9958524,0.0002720791,0.0004415046,0.0004760242,0.001963024,0.0009950153],"domain_scores_gemma":[0.9719424,0.0009026842,0.0007885833,0.0007868735,0.02421766,0.001361903],"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":[0.00002810033,0.000007302653,0.001194676,0.0002586662,0.00002274146,0.000007327181,0.00002361808,0.00009870134,0.000009148824,0.0004248308,0.9959528,0.001972175],"study_design_scores_gemma":[0.0001729997,0.00001541155,0.03398773,0.001005915,0.00008097352,0.00003203929,0.0005497441,0.0005191356,0.0001866984,0.0007141165,0.9626343,0.0001008726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006266057,0.00005326882,0.00002595038,0.000125687,0.00002803653,0.00001789318,0.9987049,0.0000507447,0.0009307566],"genre_scores_gemma":[0.0009392695,0.0003174155,0.0004307367,0.0001555325,0.00001740339,0.0001464073,0.9936184,0.00009870015,0.004276257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08459073,"threshold_uncertainty_score":0.3794891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08501320783383011,"score_gpt":0.2972395052905502,"score_spread":0.2122262974567201,"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."}}