{"id":"W6939077397","doi":"10.6068/dp14ba8af0b8645","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 income, by sex, age group, income taxes paid and after-tax income | Variable: 45 to 54 years, Number of taxfilers and dependents, Before-tax income, 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); Demographic statistics; Economic statistics; Social 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":[0.002410544,0.00228401,0.00247786,0.006969756,0.003106859,0.004208152,0.004784652,0.001329858,0.094652],"category_scores_gemma":[0.01712302,0.001708302,0.002211908,0.03136957,0.0006028503,0.002139467,0.002514448,0.003086311,0.04838462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05583197,"about_ca_system_score_gemma":0.14521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958975,"about_ca_topic_score_gemma":0.9941902,"domain_scores_codex":[0.9965011,0.0002885589,0.0003909474,0.0003844309,0.001636832,0.0007981231],"domain_scores_gemma":[0.9701909,0.0008974252,0.0006539444,0.0007889189,0.02608024,0.001388631],"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":[0.00002727058,0.000007109955,0.0009573096,0.0002705711,0.00002468309,0.000008255704,0.00003175164,0.0001723031,0.00001148652,0.0004699322,0.9948244,0.003194954],"study_design_scores_gemma":[0.0001895717,0.00001603556,0.02479912,0.001044625,0.00008936502,0.0000381402,0.0005684281,0.0009621308,0.0002045334,0.0009130362,0.9710656,0.0001094672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001005528,0.00009638497,0.00008286983,0.0002247231,0.00006235409,0.00003766956,0.9973027,0.0001417,0.001951087],"genre_scores_gemma":[0.001731917,0.0005915432,0.001257093,0.0003041288,0.00003009113,0.0002770427,0.9879884,0.0002477585,0.007572048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.094652,"threshold_uncertainty_score":0.4050912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166716604580254,"score_gpt":0.2401435319359966,"score_spread":0.2284763658901941,"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."}}