{"id":"W6957911834","doi":"10.6068/dp14ba8ac7f3f73","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: All age groups, 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":"Astronomical Observations and Instrumentation","field":"Engineering","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":[0.002466272,0.00238326,0.002525826,0.006789884,0.00318155,0.004416101,0.005114433,0.001376371,0.1007291],"category_scores_gemma":[0.01785646,0.001760518,0.002250969,0.03124147,0.0006011182,0.002247784,0.002528482,0.003218197,0.0537828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05463042,"about_ca_system_score_gemma":0.1365452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954162,"about_ca_topic_score_gemma":0.9936632,"domain_scores_codex":[0.9965177,0.0002992646,0.0004064527,0.00040366,0.001613894,0.0007590753],"domain_scores_gemma":[0.9707441,0.000884038,0.0006181406,0.0008280159,0.02559425,0.001331313],"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":[0.00002507336,0.000006374855,0.0008019694,0.0002559902,0.0000223581,0.00000763784,0.00002721971,0.0001593929,0.000009958175,0.0004464306,0.9952324,0.003005169],"study_design_scores_gemma":[0.0001812823,0.00001355325,0.01950387,0.0009946587,0.00008218912,0.00003613969,0.0004731297,0.0008681009,0.0001829978,0.0009672528,0.9765946,0.000102302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007798329,0.0000958483,0.00007896013,0.0002157278,0.00006191188,0.00003708934,0.9973456,0.0001345846,0.001952302],"genre_scores_gemma":[0.001535425,0.0006046513,0.001226633,0.0003106349,0.00002938146,0.0002795819,0.9886623,0.0002486693,0.007102726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1007291,"threshold_uncertainty_score":0.3963733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859685763722308,"score_gpt":0.2029453551300073,"score_spread":0.194085669366285,"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."}}