{"id":"W6976365849","doi":"10.6068/dp14ba84ed95a36","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Gini coefficients of market, total and after-tax income, by economic family type | Variable: Two-parent families with children, Total income | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Personal income; Socioeconomic status; Census; Official statistics; Population; Demographic statistics; Household income; Total personal income; Gini coefficient","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":[0.001948367,0.00245206,0.002713433,0.008016604,0.00307611,0.004792241,0.005509235,0.001475548,0.08072902],"category_scores_gemma":[0.01657638,0.001737229,0.002138387,0.03755577,0.0006374205,0.002556904,0.002424309,0.003441146,0.05429048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04618976,"about_ca_system_score_gemma":0.101633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992524,"about_ca_topic_score_gemma":0.990975,"domain_scores_codex":[0.9965918,0.0002285349,0.000359099,0.0004758337,0.00154462,0.0007999812],"domain_scores_gemma":[0.9712108,0.001110627,0.0009010546,0.001002143,0.02446886,0.001306464],"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":[0.00002041571,0.000005911396,0.001043127,0.0002186631,0.00001993761,0.00000606088,0.00002141862,0.0001089072,0.000008500137,0.000379854,0.9967164,0.001450848],"study_design_scores_gemma":[0.0001502211,0.0000103099,0.0237097,0.000826266,0.00006038421,0.00002769806,0.0004146631,0.0004841973,0.0001821198,0.0007499265,0.9732921,0.00009240534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004388872,0.0000374458,0.0000200008,0.00007470901,0.00001634889,0.00001019099,0.9991844,0.0000514649,0.0005615142],"genre_scores_gemma":[0.0005767383,0.0001806058,0.0002876729,0.00008098664,0.00001108662,0.00009070541,0.9963277,0.00008464757,0.002359867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08072902,"threshold_uncertainty_score":0.3351317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642043402788974,"score_gpt":0.2306840509761418,"score_spread":0.2142636169482521,"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."}}