{"id":"W6939051938","doi":"10.6068/dp14ba8877e9b44","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Family characteristics, by family type, age of older adult, and family income | Variable: 0 to 24 years, Persons not in census families, $25,000 and over | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Personal income; Socioeconomic status; Demographic statistics; Official statistics; Economic statistics; Population; Family income; Household income; Summary 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":[0.002217812,0.002430477,0.00284814,0.007729487,0.003245357,0.004757577,0.005684333,0.001500997,0.08686969],"category_scores_gemma":[0.01903225,0.001829828,0.002336561,0.03739774,0.0006085337,0.002561307,0.002525679,0.003395381,0.05075221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05017883,"about_ca_system_score_gemma":0.1115341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937791,"about_ca_topic_score_gemma":0.9924297,"domain_scores_codex":[0.9962767,0.0002609506,0.0004510401,0.0004894246,0.00165997,0.0008618968],"domain_scores_gemma":[0.9691374,0.001209597,0.0009772469,0.0009986453,0.02621694,0.001460194],"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":[0.00002577948,0.00000592773,0.001049489,0.0002684972,0.00002210634,0.000006429093,0.00002334343,0.00009935893,0.000007530354,0.0003631857,0.9965161,0.001612147],"study_design_scores_gemma":[0.000193748,0.00001319964,0.02812182,0.001093745,0.00008144967,0.00003249731,0.0004758544,0.0005288484,0.0001767366,0.0008353842,0.9683418,0.0001049838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004730023,0.00004458072,0.00002091715,0.00009956837,0.00002028652,0.00001347528,0.9990501,0.00005190783,0.0006518259],"genre_scores_gemma":[0.0006813349,0.0002371624,0.0003357443,0.0001248743,0.00001381008,0.0001258776,0.9954748,0.0000903972,0.002916079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08686969,"threshold_uncertainty_score":0.3640746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695782961431116,"score_gpt":0.2436315328124885,"score_spread":0.2166737031981774,"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."}}