{"id":"W6976924898","doi":"10.6068/dp14ba8fbdcce43","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persons in low income families, by age and sex of major income earner | Variable: Low income measure after tax, Persons in families whose major income earner is a male 65 years and over, Aggregate low income gap as a percentage of 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":"Official statistics; Socioeconomic status; Population; Economic inequality; Low income; Census; Household income; Personal income; Median income; Demographic statistics","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":[0.002145091,0.002520245,0.003083962,0.007962432,0.002977512,0.004660873,0.005821317,0.001493125,0.08874883],"category_scores_gemma":[0.01811101,0.001954644,0.00238443,0.03936892,0.0006094818,0.002431218,0.002384139,0.003614005,0.04949092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04945931,"about_ca_system_score_gemma":0.1178644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930543,"about_ca_topic_score_gemma":0.990833,"domain_scores_codex":[0.9961287,0.0002419707,0.000455678,0.0004640708,0.001785822,0.0009237726],"domain_scores_gemma":[0.9638481,0.00118884,0.001102247,0.0009811878,0.03120362,0.001676054],"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":[0.00003063299,0.000008355288,0.001271483,0.0002747038,0.00002323819,0.000005821439,0.00002082059,0.0001042241,0.000008663666,0.0003008537,0.9963271,0.001624102],"study_design_scores_gemma":[0.0002875246,0.00001991041,0.04287931,0.001193278,0.0001003957,0.00003523919,0.000548153,0.0005563422,0.0002326705,0.0007319308,0.9533002,0.0001151938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000560839,0.00003966411,0.00001755697,0.00008445617,0.00002349761,0.00001753535,0.9990624,0.00004684631,0.0006520394],"genre_scores_gemma":[0.0007530681,0.0002213234,0.0002795416,0.000115972,0.00001770186,0.00014667,0.9949986,0.00008705669,0.003380144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08874883,"threshold_uncertainty_score":0.3588541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186202195531296,"score_gpt":0.2515640641663535,"score_spread":0.2329438446132239,"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."}}