{"id":"W6957933461","doi":"10.6068/dp14ba8a7ce4977","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 $100,000 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":[0.00244416,0.00239882,0.002519553,0.006668776,0.003142327,0.004379448,0.005084073,0.001374957,0.1001897],"category_scores_gemma":[0.01754026,0.001756718,0.002262691,0.03082761,0.0005983245,0.002219187,0.002493107,0.003208081,0.05370525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05372121,"about_ca_system_score_gemma":0.133841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995442,"about_ca_topic_score_gemma":0.9936246,"domain_scores_codex":[0.9965854,0.0002941893,0.0003979105,0.0003927346,0.001575247,0.0007546429],"domain_scores_gemma":[0.9711319,0.0008658443,0.0006122071,0.0008087799,0.02525809,0.001323198],"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":[0.00002606858,0.000006528945,0.0008269185,0.0002587359,0.00002249372,0.000007856852,0.00002748689,0.0001613571,0.00001014429,0.0004398106,0.9951701,0.003042473],"study_design_scores_gemma":[0.0001878038,0.0000141167,0.01988075,0.001016814,0.00008276896,0.00003678999,0.000482007,0.0008873781,0.0001849061,0.0009527607,0.9761706,0.000103347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007972182,0.00009791961,0.00007875306,0.0002190577,0.00006351627,0.00003731362,0.9973206,0.000136902,0.00196634],"genre_scores_gemma":[0.001578123,0.0006117334,0.001219382,0.0003130886,0.00003005305,0.0002793834,0.988506,0.000250728,0.007211518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1001897,"threshold_uncertainty_score":0.3897765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250875257771832,"score_gpt":0.2314347947170992,"score_spread":0.2189260421393808,"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."}}