{"id":"W6938895910","doi":"10.6068/dp14ba8829fe717","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 furnishings and equipment | Variable: Glass mirrors, and mirror and picture frames 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":"Economic statistics; Official statistics; Census; Summary statistics; Socioeconomic status; Population; Household income; Goods and services; National accounts; Consumer Expenditure Survey","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":[0.002280482,0.002488897,0.002653776,0.007947669,0.003510522,0.004762284,0.005183112,0.001395077,0.0843573],"category_scores_gemma":[0.01715926,0.001780508,0.002194466,0.03826334,0.0005961302,0.002398836,0.002522111,0.003237248,0.04893224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0527004,"about_ca_system_score_gemma":0.1196109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951709,"about_ca_topic_score_gemma":0.9936277,"domain_scores_codex":[0.9956937,0.0002812191,0.0004474645,0.00051996,0.002005657,0.001052068],"domain_scores_gemma":[0.9714566,0.0009389003,0.0008654626,0.000850903,0.02446772,0.001420329],"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":[0.00002571569,0.000006416542,0.001155132,0.0002400565,0.00002227715,0.000006620358,0.00002363678,0.00009271514,0.000008658784,0.0003822084,0.9963261,0.001710324],"study_design_scores_gemma":[0.0001654879,0.00001441173,0.03338914,0.0009303762,0.00007893738,0.00003008847,0.0005663364,0.0004767223,0.0001932754,0.000671819,0.9633842,0.00009926881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005600728,0.00004455047,0.00002246042,0.0001094324,0.00002292236,0.00001457586,0.9989151,0.00004710689,0.0007679045],"genre_scores_gemma":[0.0008301384,0.0002555308,0.0003615283,0.0001324988,0.00001489136,0.0001236628,0.9945331,0.00008705647,0.003661726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0843573,"threshold_uncertainty_score":0.3823699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07102067030922508,"score_gpt":0.2830812920550246,"score_spread":0.2120606217457995,"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."}}