{"id":"W6938987258","doi":"10.6068/dp14ba8e1084743","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Seniors' characteristics, by family type, age of oldest individual and source of income | Variable: 65 years and over, Lone-parent families and persons not in census families, Amount of income, Other income | 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; Demographic statistics; Socioeconomic status; Official statistics; Economic statistics; Population; Family income; Transfer payment; Total personal income","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":[0.002092974,0.002415756,0.0028655,0.007910599,0.002957146,0.004562635,0.00539168,0.001413572,0.07348558],"category_scores_gemma":[0.01786113,0.001795164,0.00215808,0.03867293,0.0005982299,0.002376905,0.002489057,0.003257707,0.04595769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0480491,"about_ca_system_score_gemma":0.1085626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927452,"about_ca_topic_score_gemma":0.9912684,"domain_scores_codex":[0.9964988,0.0002370476,0.0004417954,0.0004797426,0.001540561,0.0008019621],"domain_scores_gemma":[0.9686585,0.001185431,0.001100896,0.001005761,0.02653472,0.00151465],"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":[0.00002729002,0.00000670054,0.001287873,0.0002766225,0.00002400052,0.000006635195,0.0000232763,0.0001075154,0.000007914924,0.0003306179,0.9962468,0.00165473],"study_design_scores_gemma":[0.0002075805,0.00001404312,0.03475129,0.001118491,0.00008689085,0.00003356707,0.0005114518,0.0005636789,0.0001877993,0.0007797782,0.961641,0.0001043716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005431287,0.00004235966,0.00001814014,0.00008679469,0.00001843996,0.00001169473,0.9991868,0.00004553508,0.0005359338],"genre_scores_gemma":[0.0006647606,0.0002077586,0.0002835648,0.0001023419,0.00001210313,0.000104374,0.9961184,0.00007056843,0.002436033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07348558,"threshold_uncertainty_score":0.3486223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872584056406398,"score_gpt":0.2452222154419702,"score_spread":0.2164963748779062,"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."}}