{"id":"W6920302399","doi":"10.6068/dp14ba7c94b7d17","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Upper income limits and income shares of total income quintiles, by major income source, 2011 constant dollars | Variable: All females, Fourth quintile, Income share | Units: , 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; Economic inequality; Total personal income; Personal income; Gross income; Household income; Economic statistics; Population; Socioeconomic status; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002052101,0.002462676,0.002859034,0.008337308,0.003362498,0.005175437,0.005452982,0.001508253,0.09832962],"category_scores_gemma":[0.01749854,0.00187557,0.00227192,0.03963334,0.0006313066,0.002553656,0.002457336,0.00352544,0.05438143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05163709,"about_ca_system_score_gemma":0.1257322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941526,"about_ca_topic_score_gemma":0.9924914,"domain_scores_codex":[0.9962536,0.0002300969,0.0004087078,0.000447533,0.001702918,0.000957172],"domain_scores_gemma":[0.9696214,0.001072195,0.0009077733,0.0009104363,0.02600935,0.001478742],"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":[0.00002241585,0.00000641343,0.0009713862,0.000248594,0.00001975035,0.000006031436,0.00002221015,0.00009594037,0.000007922913,0.0003746553,0.9965677,0.001656829],"study_design_scores_gemma":[0.0001715319,0.00001287758,0.02934987,0.001053329,0.00007861785,0.00003120877,0.0005053804,0.0004629076,0.0002041221,0.0007730715,0.9672533,0.0001037293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004884307,0.00004714708,0.00002093858,0.0001016785,0.00002367516,0.00001541169,0.9988571,0.00005315189,0.0008319133],"genre_scores_gemma":[0.0008431235,0.0003054835,0.0003856398,0.0001353055,0.0000186869,0.0001478242,0.9936552,0.0001161054,0.004392607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9016704,"threshold_uncertainty_score":0.3746551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181700386359651,"score_gpt":0.2628874780927256,"score_spread":0.231070474229129,"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."}}