{"id":"W6920313057","doi":"10.6068/dp14ba8a88b7046","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with after-tax income, by sex and age group | Variable: 65 years and over, Persons with after-tax income of $20,000 and over, Males | Units: #, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Residence; Socioeconomic status; Population statistics; Neighbourhood (mathematics); Economic statistics; Social statistics; 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":[0.00246792,0.002399413,0.002528208,0.006725387,0.003170358,0.004445323,0.004987146,0.001374284,0.1021713],"category_scores_gemma":[0.01782819,0.001764918,0.002224629,0.03096432,0.0006071326,0.002251768,0.002570489,0.003227497,0.05465144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05290557,"about_ca_system_score_gemma":0.1357919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951605,"about_ca_topic_score_gemma":0.9933922,"domain_scores_codex":[0.9965126,0.0003013092,0.0003987411,0.0003939656,0.001622161,0.0007712059],"domain_scores_gemma":[0.970539,0.0009037396,0.0006186279,0.0008183156,0.02577049,0.001349796],"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":[0.00002410009,0.000006292265,0.0008021077,0.0002492888,0.00002151258,0.000007553109,0.00002684752,0.0001541976,0.000009814203,0.0004443423,0.9953068,0.002947192],"study_design_scores_gemma":[0.0001782021,0.00001387471,0.01930647,0.001008094,0.00007961601,0.00003595861,0.0004891015,0.0008595266,0.0001805629,0.0009398533,0.9768062,0.0001025537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007863331,0.00009585004,0.00008020028,0.0002165684,0.00006339458,0.00003652163,0.9973257,0.0001343092,0.001968721],"genre_scores_gemma":[0.001482209,0.0005985696,0.001212318,0.0002997943,0.00002997484,0.0002673879,0.9890224,0.0002500598,0.006837135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1021713,"threshold_uncertainty_score":0.3838586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009849401891760035,"score_gpt":0.2244968427984145,"score_spread":0.2146474409066545,"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."}}