{"id":"W6976678265","doi":"10.6068/dp14ba7bed5d495","title":"Trend 2007 - 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: 0 to 34 years, Couple families, Amount of income, Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) | Units: , 2007-2011. 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":"Descriptive statistics; Census; Demographic statistics; Socioeconomic status; Population; Official statistics; Economic statistics; Pension; Population 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":[0.002260521,0.002396536,0.002830945,0.007336146,0.0032103,0.004421341,0.00568794,0.001354232,0.08397579],"category_scores_gemma":[0.01715476,0.001813354,0.002252836,0.03567265,0.0005618067,0.002205957,0.00240439,0.003075503,0.04438491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04857194,"about_ca_system_score_gemma":0.1087879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939238,"about_ca_topic_score_gemma":0.992785,"domain_scores_codex":[0.9963176,0.0002603585,0.00046228,0.0004799754,0.001609954,0.0008698165],"domain_scores_gemma":[0.9671418,0.001213645,0.001112263,0.0009764673,0.02792786,0.001627965],"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":[0.0000295371,0.000008757327,0.00180151,0.0002919991,0.00002758346,0.000007711021,0.00003063933,0.0001075799,0.000009602774,0.0002988905,0.9955133,0.001873053],"study_design_scores_gemma":[0.0002438665,0.00001874956,0.05110359,0.001313546,0.0001001356,0.0000367787,0.0007190116,0.000533364,0.0002051205,0.0007355496,0.9448839,0.0001063705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007363107,0.00004374504,0.00002234745,0.00009285612,0.00002161216,0.00001633973,0.9990324,0.00004452083,0.0006525775],"genre_scores_gemma":[0.0008778056,0.0002419958,0.0003326082,0.000133094,0.00001617669,0.0001535736,0.9948156,0.00008273961,0.003346193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08397579,"threshold_uncertainty_score":0.3524157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143805044349394,"score_gpt":0.2236932581358704,"score_spread":0.2022552076923765,"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."}}