{"id":"W6901620258","doi":"10.6068/dp14ba8afb45215","title":"Trend 2003 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with after-tax income, by sex and age group | Variable: 55 to 64 years, Persons with after-tax income of $25,000 and over, Both sexes | Units: #, 2003-2011. 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":"Personal income; Neighbourhood (mathematics); Socioeconomic status; Total personal income; Official statistics; Census; Population; Demographic statistics; Household income; Economic 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":[0.002112645,0.002384636,0.002975839,0.007269306,0.003162673,0.004645308,0.005397705,0.00134961,0.08577712],"category_scores_gemma":[0.01748804,0.001879332,0.002223187,0.03764956,0.0006206746,0.002437295,0.002342039,0.003203968,0.05058374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05542086,"about_ca_system_score_gemma":0.1268062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951292,"about_ca_topic_score_gemma":0.9937245,"domain_scores_codex":[0.9962665,0.0002503895,0.0004650628,0.0004798467,0.001676193,0.000861906],"domain_scores_gemma":[0.966613,0.001103733,0.0009617675,0.0009582901,0.02883133,0.001531824],"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":[0.00003014389,0.000006744447,0.001183918,0.0002612595,0.00002213584,0.000006735936,0.00002408696,0.00009592655,0.000008433984,0.0003247342,0.9962445,0.001791388],"study_design_scores_gemma":[0.0001977432,0.00001502832,0.03213637,0.001121981,0.00008770996,0.00003498797,0.0005588873,0.0005502772,0.0002050807,0.0007410812,0.9642468,0.0001041073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006801577,0.00005177654,0.00002292051,0.0001154453,0.00002517654,0.00001541949,0.9987885,0.00006093406,0.0008516493],"genre_scores_gemma":[0.0009053773,0.0002760951,0.000363861,0.000140633,0.00001529724,0.0001278857,0.9940885,0.0001022197,0.00398016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08577712,"threshold_uncertainty_score":0.4021084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385227941871597,"score_gpt":0.2220456714375804,"score_spread":0.2081933920188645,"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."}}