{"id":"W6920420940","doi":"10.6068/dp14ba8f51b2714","title":"Trend 1974 - 2012. 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 type of benefit rate based on percentage of earnings, sector, type of plan and contributory status | Variable: Step rate method, benefit rate integrated, Members, females, Private sector registered pension plans, Number | Units: #, 1974-2012. 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; Descriptive statistics; Census; Population; Official statistics; Socioeconomic status; Social security; Publication; Personal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004233091,0.001629012,0.003286621,0.0004552953,0.0002841851,0.0002144336,0.0009788552,0.0008497488,0.001612683],"category_scores_gemma":[0.0004578601,0.00148588,0.000001876251,0.0006617457,0.0009259842,0.0004453033,0.001058429,0.001296828,0.000002399826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812655,"about_ca_system_score_gemma":0.004638365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915551,"about_ca_topic_score_gemma":0.9889042,"domain_scores_codex":[0.9897003,0.00260438,0.002502854,0.002250727,0.001604639,0.001337103],"domain_scores_gemma":[0.9882917,0.003025065,0.004093443,0.002926701,0.0003856299,0.001277483],"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":[0.005822648,0.0002295806,0.01290281,0.00412836,0.0008278668,0.0002843082,0.00002953567,0.00003905643,0.0005247659,0.0004055197,0.9747471,0.00005843227],"study_design_scores_gemma":[0.006454673,0.0008729568,0.001938593,0.00166445,0.001466663,0.0002496504,0.0005138789,0.009562301,0.00000269474,7.965548e-7,0.975906,0.001367345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002740358,0.002747967,0.00001014806,0.00000573225,0.000446735,0.002170837,0.9913152,0.0000685701,0.0004944525],"genre_scores_gemma":[0.002991891,0.003688105,0.00150041,0.0001034697,0.00004797696,0.00001679302,0.9898974,0.000523262,0.001230706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01096421,"threshold_uncertainty_score":0.9996457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450205197153655,"score_gpt":0.2951916402815593,"score_spread":0.2406895883100227,"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."}}