{"id":"W6901554197","doi":"10.6068/dp14ba892f66186","title":"Trend 2000 - 2011. 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: 35 to 44 years, Persons with income of $250,000 and over, Both sexes | Units: #, 2000-2011. 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; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic 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":[0.002375757,0.00236883,0.002444179,0.006616289,0.003143885,0.004374126,0.00510761,0.001368728,0.1033226],"category_scores_gemma":[0.01801724,0.001712102,0.002155744,0.03071084,0.0005823117,0.002307541,0.002552655,0.003215385,0.05718059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04804336,"about_ca_system_score_gemma":0.1187759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947695,"about_ca_topic_score_gemma":0.9930125,"domain_scores_codex":[0.9967967,0.0002805028,0.0003785212,0.000388381,0.001449395,0.0007066515],"domain_scores_gemma":[0.9723889,0.0008630659,0.0006048828,0.0008187455,0.02403676,0.001287772],"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":[0.00002352393,0.00000582498,0.0007718048,0.0002355398,0.00002088964,0.000007291008,0.00002779128,0.0001467226,0.000008848207,0.0004038588,0.9956429,0.002704911],"study_design_scores_gemma":[0.000190903,0.00001321533,0.01905104,0.0009534987,0.00007681056,0.00003568369,0.0004769765,0.0008671063,0.0001703254,0.001002366,0.97706,0.0001021256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000685547,0.00007394624,0.00006825644,0.0001799386,0.00004929105,0.00003101904,0.9978143,0.0001253136,0.001589302],"genre_scores_gemma":[0.001187972,0.0004350732,0.0009775183,0.0002381203,0.0000243206,0.0002386391,0.9912673,0.0002082589,0.005422817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1033226,"threshold_uncertainty_score":0.3485806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094452183560154,"score_gpt":0.2265884547108641,"score_spread":0.2156439328752626,"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."}}