{"id":"W6901490385","doi":"10.6068/dp14ba89107a175","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 65 to 74 years, Persons with income of $25,000 and over, Both sexes | Units: #, 2000-2006. 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; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic 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":[0.002363207,0.002404731,0.002421219,0.006707386,0.003041834,0.004271409,0.005012605,0.001299178,0.1042672],"category_scores_gemma":[0.01743726,0.001672536,0.002060698,0.03128714,0.0005659703,0.002213815,0.00244759,0.003095856,0.05813877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04717979,"about_ca_system_score_gemma":0.1190452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946235,"about_ca_topic_score_gemma":0.9926094,"domain_scores_codex":[0.9968413,0.0002789582,0.0003731236,0.0003847751,0.001435516,0.0006863598],"domain_scores_gemma":[0.9729477,0.0008250973,0.0006109515,0.000795095,0.02353634,0.001284713],"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":[0.00002330316,0.000005669433,0.00072885,0.000223837,0.00001966457,0.000006854488,0.00002661154,0.0001478812,0.000008837899,0.0004088664,0.9956749,0.002724701],"study_design_scores_gemma":[0.0001769292,0.00001268903,0.01703375,0.0008774585,0.00006700792,0.00003260955,0.0004310143,0.0008272393,0.0001620705,0.0009597425,0.9793264,0.00009306234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006448326,0.00006931602,0.00006923396,0.0001698459,0.0000492603,0.00003062418,0.9977844,0.0001281219,0.001634736],"genre_scores_gemma":[0.001136589,0.0004221562,0.001025,0.0002279674,0.00002338448,0.0002352351,0.9911898,0.0002113959,0.005528367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1042672,"threshold_uncertainty_score":0.3488085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003401781838164,"score_gpt":0.2260683462107502,"score_spread":0.2160343283923686,"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."}}