{"id":"W6901447288","doi":"10.6068/dp14ba820b96847","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Canadian savers, by savers characteristics | Variable: Percentage of savers aged 35 to 44 years | Units: %, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic statistics; Census; Population; Summary statistics; National accounts; Socioeconomic status; Population statistics; Goods and services; Statistical analysis","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":[0.002388531,0.002529354,0.002564633,0.008215683,0.003317409,0.004905864,0.00500125,0.001422507,0.09948763],"category_scores_gemma":[0.01813311,0.001802571,0.002383776,0.03656502,0.0005639252,0.002543569,0.002437164,0.00329499,0.05021413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05678059,"about_ca_system_score_gemma":0.1283613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994617,"about_ca_topic_score_gemma":0.993248,"domain_scores_codex":[0.9960831,0.0002609671,0.0004309861,0.0004340187,0.001888614,0.0009022314],"domain_scores_gemma":[0.9696601,0.0009610076,0.0008255041,0.0008463047,0.02623697,0.001470041],"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":[0.00002760932,0.000006160549,0.0009766318,0.0002718536,0.00002258849,0.000006929894,0.00002390518,0.0001021475,0.000008309491,0.0004786926,0.9958966,0.002178667],"study_design_scores_gemma":[0.000159417,0.00001323743,0.0248343,0.001006429,0.00007987611,0.00003036842,0.0004333584,0.0004833934,0.0001703639,0.0007672707,0.9719269,0.00009508056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006084982,0.00007525345,0.00003057878,0.000161932,0.00003438336,0.00001954759,0.9983146,0.00007018876,0.001232663],"genre_scores_gemma":[0.001061474,0.0004604543,0.0005499654,0.0001995785,0.00002337167,0.0001690281,0.9918019,0.0001489702,0.005585156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09948763,"threshold_uncertainty_score":0.411974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476049023222614,"score_gpt":0.2381545159976559,"score_spread":0.2133940257654297,"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."}}