{"id":"W6938985016","doi":"10.6068/dp14ba7c02c9a25","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Low income measures by income source and household size, 2011 constant dollars | Variable: 1 person, After-tax income | Units: $CAD, 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-121.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Socioeconomic status; Household income; Economic inequality; Total personal income; Population; Personal income; Economic statistics; Demographic statistics; Census","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":[0.002137396,0.002446854,0.002812459,0.008339106,0.003255332,0.004889884,0.0054408,0.001491726,0.09671059],"category_scores_gemma":[0.01737723,0.001923822,0.002254923,0.03775184,0.0006126075,0.002479187,0.002471701,0.003438978,0.05219218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05414325,"about_ca_system_score_gemma":0.1262922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941023,"about_ca_topic_score_gemma":0.9922553,"domain_scores_codex":[0.9962229,0.0002385908,0.000401883,0.0004449683,0.001777032,0.0009147265],"domain_scores_gemma":[0.9682548,0.001062514,0.0009248526,0.0009244447,0.02727222,0.001561062],"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":[0.00002348687,0.000006799707,0.001010932,0.0002555821,0.00001940793,0.000006039237,0.00002158466,0.0001031346,0.000008490196,0.0003981898,0.9963941,0.00175215],"study_design_scores_gemma":[0.0001818666,0.00001414866,0.03078224,0.001055207,0.00007703171,0.00003164071,0.0004940096,0.0005014172,0.0002052178,0.0007753469,0.9657751,0.000106719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005286251,0.00004875127,0.00002424903,0.0001044663,0.00002409782,0.0000173509,0.99879,0.00005882113,0.0008793353],"genre_scores_gemma":[0.0008674394,0.000305843,0.0004384461,0.0001430049,0.00001857527,0.000158614,0.9933495,0.0001242697,0.004594351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09671059,"threshold_uncertainty_score":0.3928386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029735345741582,"score_gpt":0.2443203765993996,"score_spread":0.2140230231419838,"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."}}