{"id":"W6976083329","doi":"10.6068/dp14ba86145fa93","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: 65 years and over, Couple families, $40,000 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":"Personal income; Census; 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":[0.002268676,0.002422102,0.002874837,0.007708771,0.003201937,0.004807914,0.005651301,0.00150739,0.08783033],"category_scores_gemma":[0.01917666,0.001852244,0.002316147,0.03809536,0.0006055445,0.002587511,0.002472991,0.003371382,0.05202348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04981634,"about_ca_system_score_gemma":0.1139289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935648,"about_ca_topic_score_gemma":0.9919341,"domain_scores_codex":[0.9962084,0.0002690973,0.0004654327,0.0004980941,0.001691411,0.0008675482],"domain_scores_gemma":[0.9680445,0.001229433,0.001018069,0.001021462,0.02721961,0.001466951],"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":[0.00002572552,0.000006172752,0.001055156,0.000268819,0.00002248667,0.000006222755,0.00002313911,0.0001011689,0.000007418818,0.0003530176,0.9964941,0.001636605],"study_design_scores_gemma":[0.000192329,0.00001292331,0.02689543,0.001081713,0.00008009074,0.00003068729,0.0004709039,0.0005052974,0.0001729293,0.0008170396,0.9696371,0.0001035577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677216,0.000043042,0.00002021672,0.0001007239,0.00001946716,0.00001361467,0.9990594,0.00005137456,0.0006454115],"genre_scores_gemma":[0.0006731122,0.0002352527,0.0003371015,0.0001264907,0.00001373504,0.0001317364,0.9954465,0.00009328283,0.002942737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08783033,"threshold_uncertainty_score":0.3614445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109614266891913,"score_gpt":0.2371273430331579,"score_spread":0.2160312003642388,"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."}}