{"id":"W6920584116","doi":"10.6068/dp14ba8ed170e24","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Pensions Plans and Funds and Other Retirement Income Programs | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of asset | Variable: Size of plan, assets $1 to $4.9 billion, Members, males, Non-contributory registered pension plans | Units: # %, 2007-2011. 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; Asset (computer security); Social security; Official statistics; Population; Socioeconomic status; Publication; 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":[0.001708931,0.002440486,0.002921113,0.007443241,0.002957168,0.004826892,0.004999342,0.001527372,0.07787545],"category_scores_gemma":[0.01641231,0.001756017,0.002247532,0.03740553,0.0006230711,0.002460503,0.002149717,0.003233571,0.05751832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04540672,"about_ca_system_score_gemma":0.1037512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992574,"about_ca_topic_score_gemma":0.9918402,"domain_scores_codex":[0.9965407,0.0002140656,0.0003897386,0.0004975234,0.001540427,0.0008174535],"domain_scores_gemma":[0.9719234,0.001154831,0.0009459499,0.0009102075,0.02377091,0.001294722],"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":[0.00002198427,0.000005797181,0.0008577996,0.0001904848,0.00001912363,0.000005319224,0.00001436316,0.00007929684,0.00000710299,0.0002251951,0.9975207,0.001052786],"study_design_scores_gemma":[0.0002169498,0.00001227675,0.02149451,0.0007994872,0.00007844822,0.00002764585,0.0004079496,0.0005310586,0.0001915894,0.0005813435,0.9755762,0.00008252708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004640378,0.00004175398,0.0000135333,0.00009302869,0.00002021622,0.000008168638,0.99918,0.00004796436,0.0005488811],"genre_scores_gemma":[0.0005131715,0.0001645311,0.0001831566,0.00009828005,0.00001347218,0.00006812537,0.996704,0.0000630825,0.002192119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07787545,"threshold_uncertainty_score":0.3294504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587747648069316,"score_gpt":0.2729128443216988,"score_spread":0.2370353678410057,"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."}}