{"id":"W6901553842","doi":"10.6068/dp14ba87a448e13","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Seniors' characteristics, by age group and source of income | Variable: Total all ages, Canada Child Tax Benefit, Number of seniors | 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":"Personal income; Economic statistics; Socioeconomic status; Census; Official statistics; Total personal income; Population; Summary statistics; Household income; 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":[0.002201307,0.002331494,0.002668104,0.007479115,0.003060747,0.004707447,0.005334353,0.001501422,0.08570839],"category_scores_gemma":[0.01856346,0.001772872,0.002185245,0.03640148,0.0005885964,0.002520093,0.002411494,0.003320111,0.053823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.045635,"about_ca_system_score_gemma":0.105808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916549,"about_ca_topic_score_gemma":0.9898227,"domain_scores_codex":[0.9964413,0.0002534949,0.0004240364,0.0004857345,0.001578949,0.0008164394],"domain_scores_gemma":[0.9696348,0.001149757,0.000954069,0.001039332,0.02584558,0.001376495],"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":[0.00002319526,0.000005691587,0.0009707835,0.0002371048,0.00001967554,0.000006058686,0.00001999594,0.00009360356,0.000007739162,0.0003290076,0.9967642,0.001522997],"study_design_scores_gemma":[0.000172496,0.00001164821,0.02477065,0.0009975368,0.00007364612,0.00002854191,0.0004182703,0.0004546634,0.0001661877,0.0007879845,0.9720252,0.00009308988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315059,0.00003949481,0.00002044521,0.00009659841,0.00001968311,0.0000126993,0.999108,0.00004833231,0.0006115683],"genre_scores_gemma":[0.00060391,0.0002076128,0.000333148,0.00011715,0.00001346044,0.0001217099,0.9957937,0.00008893199,0.002720515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08570839,"threshold_uncertainty_score":0.3311067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584110676359278,"score_gpt":0.2270534263024835,"score_spread":0.2112123195388907,"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."}}