{"id":"W6958022494","doi":"10.6068/dp14ba8b92ffe33","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 equipment at the time of interview | Variable: Households having 3 or more colour televisions, Estimated number of households reporting | Units: % of households responding x 1,000, 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; Census; Official statistics; Household income; Socioeconomic status; Summary statistics; Population; National accounts; Goods and services; Population 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":[0.002347268,0.002299109,0.002533483,0.007023522,0.003095845,0.004166131,0.005073418,0.001302073,0.08669374],"category_scores_gemma":[0.01602754,0.00176325,0.002162948,0.03504223,0.0005578088,0.002270047,0.0023324,0.003173425,0.04621418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05098921,"about_ca_system_score_gemma":0.1210005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994853,"about_ca_topic_score_gemma":0.9930447,"domain_scores_codex":[0.9958894,0.0002816101,0.0004420325,0.0004652551,0.001965516,0.0009562583],"domain_scores_gemma":[0.9719694,0.000947709,0.0008323352,0.0007546311,0.02415639,0.001339685],"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":[0.00002787165,0.000007373191,0.001166343,0.0002750894,0.00002190297,0.000006759132,0.0000246948,0.00008958799,0.000008412983,0.0003701512,0.9960856,0.001916164],"study_design_scores_gemma":[0.0001823695,0.00001687016,0.03724562,0.001031451,0.00008444749,0.00003170791,0.0005916041,0.0004638513,0.0001851003,0.0006469993,0.9594277,0.00009229998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006415592,0.00005396975,0.00002376202,0.00013121,0.00002800699,0.00001827103,0.9986702,0.00004900884,0.0009613633],"genre_scores_gemma":[0.0009903101,0.0003404295,0.0004460192,0.0001834708,0.0000187473,0.0001638897,0.9922374,0.000101819,0.005517867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08669374,"threshold_uncertainty_score":0.3699543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08406372076233981,"score_gpt":0.3095396150767034,"score_spread":0.2254758943143636,"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."}}