{"id":"W6976463288","doi":"10.6068/dp14ba84da4f222","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Market income, government transfers, total income, income tax and after-tax income, by economic family type, 2011 constant dollars | Variable: Economic families, two persons or more, Median total income | 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":"Economic statistics; Economic inequality; Gross income; Official statistics; Government (linguistics); Population; Personal income; Household income; Census; Socioeconomic status","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":[0.002037147,0.002440304,0.002849389,0.008517462,0.003343026,0.004903099,0.005482375,0.001501808,0.09447517],"category_scores_gemma":[0.01861078,0.001800515,0.002215369,0.03910082,0.000625277,0.002405639,0.002428318,0.003389977,0.04936846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05222666,"about_ca_system_score_gemma":0.123024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940084,"about_ca_topic_score_gemma":0.9923868,"domain_scores_codex":[0.9963731,0.0002281978,0.0004183327,0.0004479684,0.001645542,0.0008869038],"domain_scores_gemma":[0.9684673,0.001201242,0.0009827052,0.0009163694,0.02691472,0.001517729],"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":[0.00002214857,0.000006124396,0.0009343279,0.0002481189,0.00001890663,0.000005768281,0.00002165121,0.00009742779,0.000007200202,0.0003825011,0.9967673,0.001488555],"study_design_scores_gemma":[0.0002017443,0.0000141419,0.03079549,0.001159676,0.00008249964,0.00003326412,0.0005495299,0.0005339719,0.0002075548,0.0008439752,0.9654675,0.0001106864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004639782,0.00004129345,0.00001803915,0.00009114946,0.00001978889,0.00001402186,0.9990364,0.00004628124,0.0006867366],"genre_scores_gemma":[0.0007728072,0.0002609542,0.0003346142,0.0001219044,0.00001621633,0.0001398053,0.9947512,0.0000969449,0.0035056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09447517,"threshold_uncertainty_score":0.3789327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643675734312535,"score_gpt":0.2409217766879414,"score_spread":0.224485019344816,"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."}}