{"id":"W6958073552","doi":"10.6068/dp14ba8aa50c038","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: 0 to 24 years, Persons with after-tax income of $25,000 and over, Both sexes | 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":[0.002456675,0.002386175,0.002538778,0.006713021,0.003159827,0.004372443,0.005054439,0.001381983,0.09887786],"category_scores_gemma":[0.01742961,0.001757461,0.00227105,0.03124963,0.0006018207,0.00220983,0.002476697,0.00322627,0.05285573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05491288,"about_ca_system_score_gemma":0.1374836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957129,"about_ca_topic_score_gemma":0.99404,"domain_scores_codex":[0.9965687,0.0003017996,0.0003950525,0.0004028477,0.001577207,0.0007544619],"domain_scores_gemma":[0.9713066,0.0008724772,0.000614035,0.0008085456,0.02507955,0.001318834],"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":[0.00002584149,0.000006506108,0.0008362469,0.0002640705,0.00002354257,0.000007857097,0.00002841138,0.0001637348,0.00001024766,0.0004552842,0.9951015,0.00307674],"study_design_scores_gemma":[0.0001848842,0.00001394314,0.02015761,0.001031172,0.00008513931,0.00003659946,0.0004902142,0.0008721977,0.0001813904,0.0009804145,0.975861,0.0001054785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008137984,0.0001052337,0.00008231792,0.0002293303,0.00006463322,0.00003729136,0.9972362,0.0001432319,0.0020204],"genre_scores_gemma":[0.001636353,0.0006466268,0.001305534,0.00033899,0.00003121059,0.0002885312,0.9880444,0.0002616909,0.007446636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09887786,"threshold_uncertainty_score":0.3984227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100098556236668,"score_gpt":0.2229776331607464,"score_spread":0.2129677775370796,"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."}}