{"id":"W6920322384","doi":"10.6068/dp14ba8b5a32153","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: All age groups, Number of taxfilers and dependents, Before-tax income, Both sexes | 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; Social statistics; Economic 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":[0.00243059,0.00225477,0.002470679,0.007065114,0.003108008,0.004206209,0.004788116,0.001326437,0.09341913],"category_scores_gemma":[0.01734458,0.001691589,0.002179216,0.03161119,0.000601669,0.002144147,0.002530361,0.003086389,0.04732191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05633847,"about_ca_system_score_gemma":0.1467598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958453,"about_ca_topic_score_gemma":0.994164,"domain_scores_codex":[0.9964564,0.0002917766,0.0003967761,0.0003930549,0.001665126,0.0007968249],"domain_scores_gemma":[0.9698846,0.0009119362,0.0006623025,0.0008020758,0.02635721,0.001381785],"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":[0.00002597886,0.000006909864,0.0009392572,0.0002684449,0.00002477403,0.000007989208,0.00003130453,0.0001713661,0.00001112976,0.0004770924,0.9948844,0.003151171],"study_design_scores_gemma":[0.000184215,0.00001533309,0.02449704,0.001027181,0.0000900179,0.00003749242,0.0005566582,0.0009499226,0.0002006799,0.0009198198,0.9714137,0.0001079387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009847934,0.00009500754,0.00008165019,0.0002204858,0.00006012113,0.0000369732,0.9973718,0.0001369653,0.001898499],"genre_scores_gemma":[0.00169451,0.0005797629,0.001248091,0.0002999389,0.00002927882,0.0002755191,0.9883008,0.0002399433,0.007332211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09341913,"threshold_uncertainty_score":0.4087662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066380341429564,"score_gpt":0.2349315565174171,"score_spread":0.2242677531031215,"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."}}