{"id":"W6901669036","doi":"10.6068/dp14ba805d8fb4","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: Average age of savers (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; Summary statistics; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002330442,0.002495206,0.002522451,0.008230172,0.003387545,0.004968535,0.004895793,0.001411851,0.1007846],"category_scores_gemma":[0.01780437,0.001764446,0.002321919,0.03676249,0.0005649552,0.002611187,0.002464021,0.003301961,0.05115233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05733254,"about_ca_system_score_gemma":0.1323955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994682,"about_ca_topic_score_gemma":0.9933208,"domain_scores_codex":[0.996047,0.0002614945,0.0004244763,0.0004336714,0.001923904,0.0009094871],"domain_scores_gemma":[0.9694682,0.0009381104,0.0008121058,0.0008278294,0.02647043,0.001483251],"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":[0.00002612874,0.000006150598,0.0009455796,0.0002599054,0.00002171627,0.000006881488,0.00002367743,0.0001012519,0.000008157393,0.0005150066,0.9958917,0.002193821],"study_design_scores_gemma":[0.0001395371,0.00001275107,0.02340462,0.0009518858,0.00007446224,0.00002983597,0.0004296277,0.000465243,0.000166762,0.0007511618,0.9734817,0.00009247491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006537676,0.00008080509,0.00003353306,0.0001787812,0.00003757273,0.0000202454,0.9981097,0.00007448481,0.001399426],"genre_scores_gemma":[0.001094715,0.0004948235,0.0005529028,0.0002043859,0.00002432849,0.0001614114,0.9912729,0.0001519422,0.006042592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8992153,"threshold_uncertainty_score":0.4159786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479635302793688,"score_gpt":0.2327256639652506,"score_spread":0.2079293109373137,"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."}}