{"id":"W6976495709","doi":"10.6068/dp14ba892fe5d89","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 75 years and over, Persons with income of $250,000 and over, Females | Units: #, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Renewable Energy and Sustainability","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Residence; Population statistics; Economic statistics; Social statistics; Neighbourhood (mathematics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004123593,0.0007436185,0.001050475,0.0003194854,0.0003366217,0.0003479114,0.0002775624,0.0004670105,0.0001025315],"category_scores_gemma":[0.00006299101,0.0006735392,4.009111e-7,0.0005211519,0.0006698346,0.000583188,0.0004062031,0.0004798518,3.448818e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461869,"about_ca_system_score_gemma":0.001176441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991946,"about_ca_topic_score_gemma":0.997766,"domain_scores_codex":[0.9965816,0.0003135343,0.0006580927,0.00119247,0.0006705279,0.0005837337],"domain_scores_gemma":[0.9974612,0.0004865617,0.0005589619,0.0008676373,0.00004945085,0.0005762132],"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":[0.0002489114,0.00005207512,0.3523161,0.00115413,0.0004372701,0.0001404083,0.00001428712,0.0001035398,0.000001147465,0.0006276956,0.6446077,0.0002968413],"study_design_scores_gemma":[0.002796286,0.0003636197,0.1235596,0.0001958751,0.0008538794,0.0005572423,0.0005445704,0.006022402,1.826092e-8,0.00001102257,0.8639085,0.001186994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01424079,0.005627413,0.00001310849,0.000001227835,0.00008578932,0.0005952525,0.979199,0.00004551343,0.000191899],"genre_scores_gemma":[0.04264395,0.001678803,0.0005092667,0.0000257859,0.00003974091,0.00002041573,0.954626,0.0001339529,0.0003220571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2287564,"threshold_uncertainty_score":0.9995716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009306446945373179,"score_gpt":0.2207224459508199,"score_spread":0.2114159990054467,"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."}}