{"id":"W6976904971","doi":"10.6068/dp14ba8a7b34a71","title":"Trend 2003 - 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: 55 to 64 years, Persons with after-tax income of $150,000 and over, Females | Units: #, 2003-2011. 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":[0.002446635,0.002400577,0.002524164,0.006656274,0.003144317,0.004385344,0.00508525,0.001376573,0.1002805],"category_scores_gemma":[0.01752287,0.001759264,0.002267427,0.03079252,0.0005991477,0.002220672,0.002495188,0.003213092,0.05379712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05367672,"about_ca_system_score_gemma":0.1341271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954502,"about_ca_topic_score_gemma":0.9936275,"domain_scores_codex":[0.9965855,0.0002944192,0.0003981222,0.000392951,0.001572631,0.0007563881],"domain_scores_gemma":[0.9712109,0.0008645012,0.0006108027,0.0008062727,0.02518436,0.001323118],"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":[0.0000262584,0.000006570225,0.0008314745,0.0002603696,0.00002265763,0.000007917385,0.0000276198,0.0001617916,0.00001020351,0.0004405027,0.9951481,0.003056559],"study_design_scores_gemma":[0.0001886325,0.0000141984,0.01996138,0.001023311,0.0000831983,0.00003694146,0.0004850047,0.0008884307,0.0001854546,0.0009539665,0.9760758,0.0001037595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008000917,0.00009846158,0.00007896053,0.0002198894,0.00006381589,0.00003740928,0.9973137,0.0001366587,0.001971053],"genre_scores_gemma":[0.001584384,0.0006167223,0.001221653,0.0003150666,0.00003014889,0.0002804286,0.9884388,0.000251028,0.007261821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1002805,"threshold_uncertainty_score":0.3894537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197384087739717,"score_gpt":0.2292276757689889,"score_spread":0.2172538348915918,"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."}}