{"id":"W6957844747","doi":"10.6068/dp14baa3e77a712","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Pensions Plans and Funds and Other Retirement Income Programs | Country: Canada | Province: Newfoundland and Labrador | Table: Registered Retirement Savings Plan (RRSP) contributions, by contributor characteristics | Variable: 75th percentile employment income of RRSP contributors | Units: % $CAD, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-122.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Census; Descriptive statistics; Social security; Official statistics; Population; Socioeconomic status; Summary statistics; Personal income; Social insurance","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":[0.002049636,0.002569312,0.002911632,0.008390274,0.00319639,0.005169871,0.004888121,0.001569592,0.08483601],"category_scores_gemma":[0.01887241,0.001806163,0.002193241,0.04072835,0.0006138246,0.002532167,0.002318005,0.003066627,0.06002598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0453222,"about_ca_system_score_gemma":0.1114262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920549,"about_ca_topic_score_gemma":0.9910829,"domain_scores_codex":[0.996098,0.0002551908,0.0004512535,0.0005715725,0.001722801,0.000901103],"domain_scores_gemma":[0.9694781,0.001236276,0.001035038,0.001062134,0.0257686,0.001419831],"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":[0.00002059666,0.000004682988,0.0007608101,0.0002211018,0.00001910769,0.000005759509,0.00001682311,0.00008808755,0.000007781558,0.0002750523,0.9973161,0.001264093],"study_design_scores_gemma":[0.0001563095,0.000009994104,0.01853509,0.0008197147,0.00007168502,0.0000247135,0.0003557905,0.0004083685,0.0001647305,0.000589864,0.9787853,0.00007839187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003649604,0.00004479762,0.00001648379,0.00009355255,0.00002026392,0.000008973113,0.9991105,0.00005192563,0.0006169936],"genre_scores_gemma":[0.0005225865,0.0002194086,0.0002687792,0.0001110687,0.00001497698,0.00008578786,0.9960076,0.00008568508,0.002684013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08483601,"threshold_uncertainty_score":0.3288372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897812892891773,"score_gpt":0.2648654965853826,"score_spread":0.2358873676564649,"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."}}