{"id":"W6976972463","doi":"10.6068/dp14ba8b5a87e55","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Average total income, by census family type and living arrangement, 2011 constant dollars | Variable: Non-elderly females not in families, Average income of those living on their own | Units: , 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Personal income; Economic statistics; Socioeconomic status; Population; Demographic statistics; Official statistics; Household income; Standard of living; Total personal income","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":[0.002232755,0.002369339,0.002864668,0.008122269,0.003247645,0.004851044,0.005589575,0.00149929,0.08570259],"category_scores_gemma":[0.01917049,0.001842454,0.002171336,0.03884219,0.0006111356,0.002639636,0.002418568,0.003553078,0.05455519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05262998,"about_ca_system_score_gemma":0.1199849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938118,"about_ca_topic_score_gemma":0.9920872,"domain_scores_codex":[0.9959906,0.0002574229,0.0004587563,0.0005121864,0.001852747,0.0009282549],"domain_scores_gemma":[0.9656188,0.00120033,0.001036075,0.001055179,0.02957918,0.001510325],"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":[0.00002286872,0.000006617092,0.001121212,0.0002519717,0.00002067744,0.000006211057,0.0000228694,0.0001037559,0.000008190577,0.0003689986,0.996436,0.001630577],"study_design_scores_gemma":[0.0001604153,0.00001240956,0.02927486,0.0009943238,0.00007132634,0.00002929953,0.0004721375,0.0004637677,0.0001833785,0.0006996848,0.967541,0.00009733909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004871414,0.00004179967,0.00002026476,0.00008936144,0.00001993695,0.00001373506,0.9990548,0.00004675032,0.0006646675],"genre_scores_gemma":[0.0006685217,0.0002256468,0.0003194823,0.0001077468,0.00001382465,0.0001198654,0.9952917,0.00008581773,0.003167384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08570259,"threshold_uncertainty_score":0.3818591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05711046180368495,"score_gpt":0.288469690705623,"score_spread":0.2313592289019381,"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."}}