{"id":"W6957540370","doi":"10.6068/dp14ba8bdc0a818","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Seniors' characteristics, by family type, age of oldest individual and source of income | Variable: 65 years and over, Couple families, Number in family type, Old Age Security (OAS) and net federal supplements | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","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; Demographic statistics; Socioeconomic status; Population; Official statistics; Economic statistics; Population statistics; Descriptive statistics; Summary statistics; Fertility","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":[0.002413073,0.002552989,0.00300286,0.007673902,0.00341769,0.004819122,0.006298721,0.001490704,0.08675288],"category_scores_gemma":[0.0185961,0.002036247,0.002475677,0.03834519,0.0006063831,0.002437084,0.002561693,0.003419566,0.04872237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05171207,"about_ca_system_score_gemma":0.1105481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939121,"about_ca_topic_score_gemma":0.9923956,"domain_scores_codex":[0.9959384,0.0002957282,0.0005040644,0.0005343713,0.001756447,0.0009709343],"domain_scores_gemma":[0.964044,0.001343325,0.001239186,0.001112547,0.03043526,0.001825608],"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":[0.00003158062,0.000009078909,0.001698352,0.0003063616,0.00002825237,0.000007665416,0.00003234486,0.0001132551,0.000009360228,0.0003208977,0.9956434,0.001799474],"study_design_scores_gemma":[0.000264748,0.00001885718,0.04550271,0.00131322,0.00009918031,0.00003666114,0.0007030573,0.0005428497,0.0001950416,0.0008220192,0.9503902,0.0001113222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000654445,0.0000410323,0.0000222413,0.00009316657,0.00002143436,0.00001631584,0.9990532,0.00004916759,0.0006379224],"genre_scores_gemma":[0.0007751207,0.0002253743,0.0003393423,0.0001337377,0.00001565,0.0001548211,0.9951756,0.00008805665,0.003092316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08675288,"threshold_uncertainty_score":0.3751991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183613235972526,"score_gpt":0.235718027158958,"score_spread":0.2173567035617054,"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."}}