{"id":"W6920471687","doi":"10.6068/dp14ba8af0a7d44","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 $250,000 and over, Females | 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":[0.002470048,0.002393233,0.002516884,0.006718228,0.003153469,0.004435573,0.004974319,0.001373982,0.1022036],"category_scores_gemma":[0.01785093,0.001759898,0.002213893,0.03089345,0.0006051511,0.002253082,0.002566713,0.003218967,0.05465939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05285871,"about_ca_system_score_gemma":0.1354811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951305,"about_ca_topic_score_gemma":0.9933528,"domain_scores_codex":[0.9965288,0.0002994844,0.0003967697,0.0003918665,0.001615236,0.0007678181],"domain_scores_gemma":[0.970475,0.0009045954,0.000619002,0.0008172053,0.02583724,0.001346956],"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":[0.00002410568,0.000006319641,0.0008046212,0.0002483148,0.00002143302,0.000007547415,0.00002673743,0.000156198,0.000009781939,0.0004437436,0.9952965,0.002954697],"study_design_scores_gemma":[0.0001785166,0.00001386071,0.01926148,0.001009381,0.00007887536,0.00003584893,0.0004885541,0.000870532,0.0001808084,0.0009426866,0.9768367,0.0001027822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007877975,0.00009524836,0.00008019592,0.000217158,0.00006338951,0.00003660015,0.9973219,0.0001340095,0.001972665],"genre_scores_gemma":[0.001491898,0.0005993777,0.00121449,0.0003007121,0.00002995824,0.0002687849,0.9889876,0.0002498351,0.006857255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1022036,"threshold_uncertainty_score":0.3835186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163354226185761,"score_gpt":0.2300193235678442,"score_spread":0.2183857813059866,"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."}}